diff --git "a/checkpoint-1746/trainer_state.json" "b/checkpoint-1746/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/checkpoint-1746/trainer_state.json"
@@ -0,0 +1,10492 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "global_step": 1746,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.0303030303030305e-06,
+      "loss": 1.946,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.060606060606061e-06,
+      "loss": 1.908,
+      "step": 2
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.090909090909091e-06,
+      "loss": 2.1083,
+      "step": 3
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.2121212121212122e-05,
+      "loss": 2.3218,
+      "step": 4
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.5151515151515153e-05,
+      "loss": 1.8338,
+      "step": 5
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.8181818181818182e-05,
+      "loss": 2.0202,
+      "step": 6
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 2.1212121212121215e-05,
+      "loss": 2.1332,
+      "step": 7
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 2.4242424242424244e-05,
+      "loss": 1.8593,
+      "step": 8
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 2.7272727272727273e-05,
+      "loss": 1.5359,
+      "step": 9
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 3.0303030303030306e-05,
+      "loss": 1.327,
+      "step": 10
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 1.7252,
+      "step": 11
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3.6363636363636364e-05,
+      "loss": 1.4351,
+      "step": 12
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3.939393939393939e-05,
+      "loss": 1.2774,
+      "step": 13
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 4.242424242424243e-05,
+      "loss": 1.5145,
+      "step": 14
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 4.545454545454546e-05,
+      "loss": 1.1529,
+      "step": 15
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.848484848484849e-05,
+      "loss": 1.0047,
+      "step": 16
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 5.151515151515152e-05,
+      "loss": 1.3872,
+      "step": 17
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 5.4545454545454546e-05,
+      "loss": 1.1229,
+      "step": 18
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 5.757575757575758e-05,
+      "loss": 1.3386,
+      "step": 19
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 6.060606060606061e-05,
+      "loss": 1.2493,
+      "step": 20
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 6.363636363636364e-05,
+      "loss": 1.1427,
+      "step": 21
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 1.0895,
+      "step": 22
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 6.96969696969697e-05,
+      "loss": 1.1989,
+      "step": 23
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 7.272727272727273e-05,
+      "loss": 1.0438,
+      "step": 24
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 7.575757575757576e-05,
+      "loss": 1.176,
+      "step": 25
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 7.878787878787879e-05,
+      "loss": 1.1372,
+      "step": 26
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 8.181818181818183e-05,
+      "loss": 1.2983,
+      "step": 27
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 8.484848484848486e-05,
+      "loss": 0.9371,
+      "step": 28
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 8.787878787878789e-05,
+      "loss": 1.2299,
+      "step": 29
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 9.090909090909092e-05,
+      "loss": 0.9441,
+      "step": 30
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 9.393939393939395e-05,
+      "loss": 1.0011,
+      "step": 31
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 9.696969696969698e-05,
+      "loss": 1.1704,
+      "step": 32
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0001,
+      "loss": 1.1193,
+      "step": 33
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.00010303030303030303,
+      "loss": 1.1559,
+      "step": 34
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.00010606060606060606,
+      "loss": 0.8677,
+      "step": 35
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.00010909090909090909,
+      "loss": 1.0865,
+      "step": 36
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.00011212121212121212,
+      "loss": 1.0922,
+      "step": 37
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.00011515151515151516,
+      "loss": 0.9434,
+      "step": 38
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0001181818181818182,
+      "loss": 0.9144,
+      "step": 39
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.00012121212121212122,
+      "loss": 0.9546,
+      "step": 40
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.00012424242424242425,
+      "loss": 1.0654,
+      "step": 41
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.00012727272727272728,
+      "loss": 0.8077,
+      "step": 42
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0001303030303030303,
+      "loss": 1.0758,
+      "step": 43
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 1.1512,
+      "step": 44
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.00013636363636363637,
+      "loss": 0.84,
+      "step": 45
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0001393939393939394,
+      "loss": 1.0567,
+      "step": 46
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.00014242424242424243,
+      "loss": 1.0165,
+      "step": 47
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.00014545454545454546,
+      "loss": 0.8678,
+      "step": 48
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.00014848484848484849,
+      "loss": 1.055,
+      "step": 49
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.00015151515151515152,
+      "loss": 1.0669,
+      "step": 50
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.00015454545454545454,
+      "loss": 0.9915,
+      "step": 51
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.00015757575757575757,
+      "loss": 0.993,
+      "step": 52
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0001606060606060606,
+      "loss": 1.1085,
+      "step": 53
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.00016363636363636366,
+      "loss": 0.9391,
+      "step": 54
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0001666666666666667,
+      "loss": 0.975,
+      "step": 55
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.00016969696969696972,
+      "loss": 1.0697,
+      "step": 56
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.00017272727272727275,
+      "loss": 0.9462,
+      "step": 57
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.00017575757575757578,
+      "loss": 1.1209,
+      "step": 58
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0001787878787878788,
+      "loss": 1.0648,
+      "step": 59
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.00018181818181818183,
+      "loss": 0.9964,
+      "step": 60
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.00018484848484848484,
+      "loss": 0.8451,
+      "step": 61
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0001878787878787879,
+      "loss": 0.8437,
+      "step": 62
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.00019090909090909092,
+      "loss": 1.1271,
+      "step": 63
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.00019393939393939395,
+      "loss": 1.161,
+      "step": 64
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.00019696969696969698,
+      "loss": 1.0032,
+      "step": 65
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0002,
+      "loss": 1.1258,
+      "step": 66
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.00019999988957695886,
+      "loss": 0.9543,
+      "step": 67
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.00019999955830807923,
+      "loss": 1.0274,
+      "step": 68
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.00019999900619409279,
+      "loss": 0.9334,
+      "step": 69
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0001999982332362188,
+      "loss": 1.0398,
+      "step": 70
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.00019999723943616433,
+      "loss": 0.9049,
+      "step": 71
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.00019999602479612417,
+      "loss": 0.7452,
+      "step": 72
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.00019999458931878073,
+      "loss": 0.8762,
+      "step": 73
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.00019999293300730427,
+      "loss": 1.0941,
+      "step": 74
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.00019999105586535268,
+      "loss": 0.7713,
+      "step": 75
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.00019998895789707154,
+      "loss": 0.9233,
+      "step": 76
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.00019998663910709416,
+      "loss": 0.8634,
+      "step": 77
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.00019998409950054146,
+      "loss": 0.9697,
+      "step": 78
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.00019998133908302209,
+      "loss": 1.0816,
+      "step": 79
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0001999783578606323,
+      "loss": 0.9659,
+      "step": 80
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00019997515583995603,
+      "loss": 0.9644,
+      "step": 81
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00019997173302806478,
+      "loss": 0.8561,
+      "step": 82
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00019996808943251773,
+      "loss": 1.0016,
+      "step": 83
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0001999642250613616,
+      "loss": 0.8951,
+      "step": 84
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00019996013992313073,
+      "loss": 1.0157,
+      "step": 85
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.00019995583402684694,
+      "loss": 0.9414,
+      "step": 86
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.00019995130738201966,
+      "loss": 0.8097,
+      "step": 87
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.00019994655999864582,
+      "loss": 0.8606,
+      "step": 88
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0001999415918872098,
+      "loss": 1.0427,
+      "step": 89
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.00019993640305868352,
+      "loss": 0.9578,
+      "step": 90
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.00019993099352452623,
+      "loss": 1.1097,
+      "step": 91
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.00019992536329668478,
+      "loss": 0.8119,
+      "step": 92
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.00019991951238759325,
+      "loss": 0.9915,
+      "step": 93
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0001999134408101731,
+      "loss": 0.838,
+      "step": 94
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.00019990714857783326,
+      "loss": 0.8935,
+      "step": 95
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.00019990063570446984,
+      "loss": 0.7914,
+      "step": 96
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.00019989390220446622,
+      "loss": 0.8724,
+      "step": 97
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.00019988694809269314,
+      "loss": 1.0374,
+      "step": 98
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.00019987977338450845,
+      "loss": 0.9028,
+      "step": 99
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.00019987237809575723,
+      "loss": 0.9986,
+      "step": 100
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.00019986476224277165,
+      "loss": 1.113,
+      "step": 101
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.00019985692584237108,
+      "loss": 0.8395,
+      "step": 102
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.00019984886891186184,
+      "loss": 1.0134,
+      "step": 103
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0001998405914690374,
+      "loss": 0.8845,
+      "step": 104
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.00019983209353217812,
+      "loss": 0.7507,
+      "step": 105
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.00019982337512005138,
+      "loss": 0.9073,
+      "step": 106
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.00019981443625191148,
+      "loss": 0.9973,
+      "step": 107
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.00019980527694749952,
+      "loss": 1.0733,
+      "step": 108
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.00019979589722704346,
+      "loss": 0.9148,
+      "step": 109
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.00019978629711125812,
+      "loss": 0.8385,
+      "step": 110
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.00019977647662134488,
+      "loss": 0.75,
+      "step": 111
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.00019976643577899195,
+      "loss": 0.9002,
+      "step": 112
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.00019975617460637416,
+      "loss": 0.8754,
+      "step": 113
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0001997456931261529,
+      "loss": 0.8886,
+      "step": 114
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.00019973499136147606,
+      "loss": 1.0058,
+      "step": 115
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.00019972406933597812,
+      "loss": 0.9276,
+      "step": 116
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.00019971292707377991,
+      "loss": 0.9922,
+      "step": 117
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.00019970156459948873,
+      "loss": 0.9507,
+      "step": 118
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0001996899819381981,
+      "loss": 0.9619,
+      "step": 119
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.00019967817911548794,
+      "loss": 0.8163,
+      "step": 120
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.00019966615615742424,
+      "loss": 1.0647,
+      "step": 121
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0001996539130905593,
+      "loss": 0.9348,
+      "step": 122
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.00019964144994193142,
+      "loss": 1.0523,
+      "step": 123
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.000199628766739065,
+      "loss": 0.9063,
+      "step": 124
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.00019961586350997033,
+      "loss": 1.0227,
+      "step": 125
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0001996027402831438,
+      "loss": 1.006,
+      "step": 126
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.00019958939708756746,
+      "loss": 0.9082,
+      "step": 127
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.00019957583395270923,
+      "loss": 0.8756,
+      "step": 128
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0001995620509085228,
+      "loss": 0.8311,
+      "step": 129
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.00019954804798544745,
+      "loss": 1.0332,
+      "step": 130
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.00019953382521440815,
+      "loss": 0.9427,
+      "step": 131
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.00019951938262681527,
+      "loss": 0.838,
+      "step": 132
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0001995047202545647,
+      "loss": 0.8509,
+      "step": 133
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.00019948983813003774,
+      "loss": 0.8944,
+      "step": 134
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.00019947473628610099,
+      "loss": 0.9569,
+      "step": 135
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.00019945941475610623,
+      "loss": 0.7805,
+      "step": 136
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.00019944387357389052,
+      "loss": 0.9337,
+      "step": 137
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0001994281127737759,
+      "loss": 0.8712,
+      "step": 138
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0001994121323905695,
+      "loss": 0.9264,
+      "step": 139
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0001993959324595634,
+      "loss": 0.9323,
+      "step": 140
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.00019937951301653444,
+      "loss": 0.8331,
+      "step": 141
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0001993628740977444,
+      "loss": 0.902,
+      "step": 142
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0001993460157399396,
+      "loss": 0.8676,
+      "step": 143
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.00019932893798035116,
+      "loss": 0.8525,
+      "step": 144
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.00019931164085669456,
+      "loss": 0.8571,
+      "step": 145
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.00019929412440716985,
+      "loss": 1.0006,
+      "step": 146
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.00019927638867046142,
+      "loss": 0.9849,
+      "step": 147
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.00019925843368573794,
+      "loss": 0.9064,
+      "step": 148
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0001992402594926523,
+      "loss": 0.9716,
+      "step": 149
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0001992218661313415,
+      "loss": 0.7553,
+      "step": 150
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.00019920325364242654,
+      "loss": 0.7921,
+      "step": 151
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.00019918442206701245,
+      "loss": 0.7994,
+      "step": 152
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0001991653714466879,
+      "loss": 0.8296,
+      "step": 153
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.00019914610182352548,
+      "loss": 0.8116,
+      "step": 154
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.00019912661324008148,
+      "loss": 0.9844,
+      "step": 155
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.00019910690573939557,
+      "loss": 0.865,
+      "step": 156
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.00019908697936499103,
+      "loss": 0.959,
+      "step": 157
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.00019906683416087448,
+      "loss": 0.7727,
+      "step": 158
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.00019904647017153582,
+      "loss": 0.707,
+      "step": 159
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.00019902588744194813,
+      "loss": 0.8597,
+      "step": 160
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.00019900508601756756,
+      "loss": 0.9146,
+      "step": 161
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0001989840659443332,
+      "loss": 0.9571,
+      "step": 162
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0001989628272686671,
+      "loss": 0.8537,
+      "step": 163
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.00019894137003747403,
+      "loss": 0.828,
+      "step": 164
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.00019891969429814145,
+      "loss": 0.8055,
+      "step": 165
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0001988978000985394,
+      "loss": 0.8432,
+      "step": 166
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0001988756874870203,
+      "loss": 0.8101,
+      "step": 167
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.00019885335651241903,
+      "loss": 0.9072,
+      "step": 168
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0001988308072240527,
+      "loss": 0.7862,
+      "step": 169
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.00019880803967172047,
+      "loss": 0.8303,
+      "step": 170
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.00019878505390570362,
+      "loss": 0.9489,
+      "step": 171
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0001987618499767653,
+      "loss": 1.0125,
+      "step": 172
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0001987384279361505,
+      "loss": 0.809,
+      "step": 173
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.00019871478783558587,
+      "loss": 0.9488,
+      "step": 174
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0001986909297272796,
+      "loss": 0.9664,
+      "step": 175
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0001986668536639215,
+      "loss": 0.9657,
+      "step": 176
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0001986425596986825,
+      "loss": 0.8123,
+      "step": 177
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.00019861804788521493,
+      "loss": 0.9482,
+      "step": 178
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.00019859331827765212,
+      "loss": 0.879,
+      "step": 179
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.00019856837093060848,
+      "loss": 0.896,
+      "step": 180
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.00019854320589917927,
+      "loss": 1.0729,
+      "step": 181
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.00019851782323894042,
+      "loss": 0.9844,
+      "step": 182
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0001984922230059486,
+      "loss": 0.9131,
+      "step": 183
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.00019846640525674082,
+      "loss": 0.9417,
+      "step": 184
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.00019844037004833473,
+      "loss": 0.9633,
+      "step": 185
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0001984141174382279,
+      "loss": 0.968,
+      "step": 186
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.00019838764748439827,
+      "loss": 0.8447,
+      "step": 187
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.00019836096024530373,
+      "loss": 0.8638,
+      "step": 188
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.00019833405577988195,
+      "loss": 0.9346,
+      "step": 189
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0001983069341475504,
+      "loss": 0.8969,
+      "step": 190
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.00019827959540820613,
+      "loss": 0.8499,
+      "step": 191
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.00019825203962222572,
+      "loss": 0.8041,
+      "step": 192
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.00019822426685046497,
+      "loss": 0.9216,
+      "step": 193
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.00019819627715425903,
+      "loss": 0.906,
+      "step": 194
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.000198168070595422,
+      "loss": 0.8969,
+      "step": 195
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.000198139647236247,
+      "loss": 0.7949,
+      "step": 196
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.00019811100713950587,
+      "loss": 0.8996,
+      "step": 197
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.00019808215036844917,
+      "loss": 0.9118,
+      "step": 198
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0001980530769868059,
+      "loss": 0.7355,
+      "step": 199
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.00019802378705878354,
+      "loss": 0.8344,
+      "step": 200
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.00019799428064906774,
+      "loss": 0.9639,
+      "step": 201
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0001979645578228222,
+      "loss": 0.852,
+      "step": 202
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0001979346186456887,
+      "loss": 0.8493,
+      "step": 203
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.00019790446318378665,
+      "loss": 0.851,
+      "step": 204
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.00019787409150371328,
+      "loss": 0.7161,
+      "step": 205
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.00019784350367254322,
+      "loss": 0.9846,
+      "step": 206
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0001978126997578285,
+      "loss": 0.7883,
+      "step": 207
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.00019778167982759833,
+      "loss": 0.8691,
+      "step": 208
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.00019775044395035907,
+      "loss": 0.928,
+      "step": 209
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0001977189921950939,
+      "loss": 0.8244,
+      "step": 210
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0001976873246312628,
+      "loss": 1.0413,
+      "step": 211
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0001976554413288023,
+      "loss": 0.8261,
+      "step": 212
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0001976233423581255,
+      "loss": 0.823,
+      "step": 213
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.00019759102779012166,
+      "loss": 0.9386,
+      "step": 214
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.00019755849769615628,
+      "loss": 0.8156,
+      "step": 215
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.00019752575214807076,
+      "loss": 0.8556,
+      "step": 216
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.00019749279121818235,
+      "loss": 0.7769,
+      "step": 217
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.00019745961497928406,
+      "loss": 1.0772,
+      "step": 218
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.00019742622350464418,
+      "loss": 0.8147,
+      "step": 219
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0001973926168680066,
+      "loss": 0.9529,
+      "step": 220
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.00019735879514359018,
+      "loss": 0.8688,
+      "step": 221
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.00019732475840608888,
+      "loss": 0.9647,
+      "step": 222
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.00019729050673067156,
+      "loss": 0.837,
+      "step": 223
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.00019725604019298163,
+      "loss": 0.9211,
+      "step": 224
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.00019722135886913715,
+      "loss": 0.9434,
+      "step": 225
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0001971864628357304,
+      "loss": 0.6506,
+      "step": 226
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.00019715135216982798,
+      "loss": 0.8052,
+      "step": 227
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.00019711602694897037,
+      "loss": 0.7852,
+      "step": 228
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.00019708048725117192,
+      "loss": 0.9283,
+      "step": 229
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0001970447331549207,
+      "loss": 0.9081,
+      "step": 230
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.00019700876473917824,
+      "loss": 0.9036,
+      "step": 231
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.00019697258208337934,
+      "loss": 0.716,
+      "step": 232
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.00019693618526743197,
+      "loss": 0.8192,
+      "step": 233
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0001968995743717171,
+      "loss": 0.9773,
+      "step": 234
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.00019686274947708848,
+      "loss": 0.8698,
+      "step": 235
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0001968257106648724,
+      "loss": 0.9062,
+      "step": 236
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.00019678845801686764,
+      "loss": 0.8984,
+      "step": 237
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00019675099161534521,
+      "loss": 0.8087,
+      "step": 238
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00019671331154304822,
+      "loss": 0.8272,
+      "step": 239
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00019667541788319162,
+      "loss": 0.784,
+      "step": 240
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00019663731071946206,
+      "loss": 0.8777,
+      "step": 241
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00019659899013601772,
+      "loss": 0.8534,
+      "step": 242
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.00019656045621748808,
+      "loss": 0.9645,
+      "step": 243
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.00019652170904897387,
+      "loss": 0.9692,
+      "step": 244
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.00019648274871604662,
+      "loss": 0.838,
+      "step": 245
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.00019644357530474872,
+      "loss": 0.7445,
+      "step": 246
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0001964041889015931,
+      "loss": 0.9065,
+      "step": 247
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.00019636458959356316,
+      "loss": 0.7806,
+      "step": 248
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.00019632477746811232,
+      "loss": 0.7971,
+      "step": 249
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.00019628475261316417,
+      "loss": 0.8409,
+      "step": 250
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.00019624451511711198,
+      "loss": 0.7432,
+      "step": 251
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.00019620406506881875,
+      "loss": 0.9096,
+      "step": 252
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.00019616340255761676,
+      "loss": 0.8004,
+      "step": 253
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.00019612252767330763,
+      "loss": 0.7978,
+      "step": 254
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0001960814405061619,
+      "loss": 0.9535,
+      "step": 255
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.000196040141146919,
+      "loss": 0.9945,
+      "step": 256
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0001959986296867869,
+      "loss": 0.9703,
+      "step": 257
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.00019595690621744208,
+      "loss": 0.9639,
+      "step": 258
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.00019591497083102914,
+      "loss": 0.9312,
+      "step": 259
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.00019587282362016083,
+      "loss": 0.7709,
+      "step": 260
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0001958304646779175,
+      "loss": 0.8547,
+      "step": 261
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.00019578789409784727,
+      "loss": 0.8081,
+      "step": 262
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.00019574511197396563,
+      "loss": 0.8476,
+      "step": 263
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.00019570211840075517,
+      "loss": 0.9658,
+      "step": 264
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.00019565891347316552,
+      "loss": 0.7778,
+      "step": 265
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0001956154972866131,
+      "loss": 0.9926,
+      "step": 266
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0001955718699369808,
+      "loss": 0.957,
+      "step": 267
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.000195528031520618,
+      "loss": 0.9396,
+      "step": 268
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.00019548398213434007,
+      "loss": 0.9049,
+      "step": 269
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.00019543972187542833,
+      "loss": 0.9683,
+      "step": 270
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.00019539525084162992,
+      "loss": 0.8555,
+      "step": 271
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.00019535056913115725,
+      "loss": 0.8489,
+      "step": 272
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0001953056768426882,
+      "loss": 0.8728,
+      "step": 273
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.00019526057407536564,
+      "loss": 0.9443,
+      "step": 274
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.00019521526092879725,
+      "loss": 0.8161,
+      "step": 275
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.00019516973750305532,
+      "loss": 0.8936,
+      "step": 276
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.00019512400389867657,
+      "loss": 0.8315,
+      "step": 277
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.00019507806021666188,
+      "loss": 0.9298,
+      "step": 278
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.00019503190655847604,
+      "loss": 0.8235,
+      "step": 279
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.00019498554302604766,
+      "loss": 0.9245,
+      "step": 280
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0001949389697217687,
+      "loss": 0.8302,
+      "step": 281
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.00019489218674849455,
+      "loss": 0.8488,
+      "step": 282
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.00019484519420954354,
+      "loss": 0.8177,
+      "step": 283
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.00019479799220869682,
+      "loss": 1.0039,
+      "step": 284
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.00019475058085019825,
+      "loss": 0.7685,
+      "step": 285
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.00019470296023875387,
+      "loss": 0.9174,
+      "step": 286
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.000194655130479532,
+      "loss": 1.0997,
+      "step": 287
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.00019460709167816274,
+      "loss": 0.9759,
+      "step": 288
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0001945588439407379,
+      "loss": 0.9397,
+      "step": 289
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.00019451038737381077,
+      "loss": 1.0367,
+      "step": 290
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.00019446172208439574,
+      "loss": 0.8298,
+      "step": 291
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0001944128481799682,
+      "loss": 0.9094,
+      "step": 292
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.00019436376576846423,
+      "loss": 1.1234,
+      "step": 293
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.00019431447495828045,
+      "loss": 0.9103,
+      "step": 294
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0001942649758582737,
+      "loss": 0.7841,
+      "step": 295
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.00019421526857776072,
+      "loss": 0.8817,
+      "step": 296
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.00019416535322651818,
+      "loss": 1.0682,
+      "step": 297
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.00019411522991478214,
+      "loss": 0.9201,
+      "step": 298
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.000194064898753248,
+      "loss": 4.1834,
+      "step": 299
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.00019401435985307012,
+      "loss": 1.0391,
+      "step": 300
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.00019396361332586166,
+      "loss": 2.5015,
+      "step": 301
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0001939126592836944,
+      "loss": 0.7927,
+      "step": 302
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0001938614978390983,
+      "loss": 2.2345,
+      "step": 303
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.00019381012910506146,
+      "loss": 0.9311,
+      "step": 304
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.00019375855319502962,
+      "loss": 0.9713,
+      "step": 305
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.00019370677022290624,
+      "loss": 0.8967,
+      "step": 306
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.00019365478030305196,
+      "loss": 3.095,
+      "step": 307
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0001936025835502845,
+      "loss": 1.1008,
+      "step": 308
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0001935501800798783,
+      "loss": 1.5409,
+      "step": 309
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.00019349757000756444,
+      "loss": 1.02,
+      "step": 310
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.00019344475344953012,
+      "loss": 1.0101,
+      "step": 311
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0001933917305224187,
+      "loss": 0.7686,
+      "step": 312
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0001933385013433292,
+      "loss": 1.1061,
+      "step": 313
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0001932850660298162,
+      "loss": 0.8083,
+      "step": 314
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0001932314246998895,
+      "loss": 1.1942,
+      "step": 315
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.00019317757747201384,
+      "loss": 0.8551,
+      "step": 316
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.00019312352446510878,
+      "loss": 0.9049,
+      "step": 317
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.00019306926579854821,
+      "loss": 0.7072,
+      "step": 318
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.00019301480159216028,
+      "loss": 0.8552,
+      "step": 319
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.00019296013196622706,
+      "loss": 0.8414,
+      "step": 320
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0001929052570414843,
+      "loss": 0.9198,
+      "step": 321
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.00019285017693912107,
+      "loss": 2.1953,
+      "step": 322
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.00019279489178077969,
+      "loss": 0.851,
+      "step": 323
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.00019273940168855518,
+      "loss": 1.0239,
+      "step": 324
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.00019268370678499533,
+      "loss": 1.5125,
+      "step": 325
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.00019262780719310008,
+      "loss": 0.9171,
+      "step": 326
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.00019257170303632148,
+      "loss": 0.9794,
+      "step": 327
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.00019251539443856344,
+      "loss": 0.9023,
+      "step": 328
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.00019245888152418124,
+      "loss": 1.058,
+      "step": 329
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.00019240216441798142,
+      "loss": 0.9411,
+      "step": 330
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0001923452432452215,
+      "loss": 1.197,
+      "step": 331
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0001922881181316097,
+      "loss": 0.9253,
+      "step": 332
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0001922307892033046,
+      "loss": 1.156,
+      "step": 333
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.00019217325658691482,
+      "loss": 0.9424,
+      "step": 334
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.00019211552040949891,
+      "loss": 1.1147,
+      "step": 335
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.00019205758079856498,
+      "loss": 0.8528,
+      "step": 336
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0001919994378820704,
+      "loss": 0.8105,
+      "step": 337
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.00019194109178842153,
+      "loss": 0.9279,
+      "step": 338
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.00019188254264647337,
+      "loss": 0.9231,
+      "step": 339
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.00019182379058552948,
+      "loss": 1.0425,
+      "step": 340
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.00019176483573534142,
+      "loss": 0.8794,
+      "step": 341
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.00019170567822610873,
+      "loss": 0.9873,
+      "step": 342
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0001916463181884784,
+      "loss": 0.8146,
+      "step": 343
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.00019158675575354478,
+      "loss": 1.027,
+      "step": 344
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.00019152699105284913,
+      "loss": 0.8093,
+      "step": 345
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0001914670242183795,
+      "loss": 0.951,
+      "step": 346
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.00019140685538257028,
+      "loss": 0.9268,
+      "step": 347
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.00019134648467830198,
+      "loss": 1.0205,
+      "step": 348
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.00019128591223890092,
+      "loss": 0.9043,
+      "step": 349
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.00019122513819813902,
+      "loss": 0.7387,
+      "step": 350
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0001911641626902333,
+      "loss": 0.9422,
+      "step": 351
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.00019110298584984578,
+      "loss": 0.9015,
+      "step": 352
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0001910416078120832,
+      "loss": 0.7522,
+      "step": 353
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.00019098002871249646,
+      "loss": 0.9722,
+      "step": 354
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0001909182486870806,
+      "loss": 0.8358,
+      "step": 355
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.00019085626787227443,
+      "loss": 0.9859,
+      "step": 356
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.00019079408640496013,
+      "loss": 0.7796,
+      "step": 357
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.00019073170442246302,
+      "loss": 0.8617,
+      "step": 358
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0001906691220625513,
+      "loss": 0.7727,
+      "step": 359
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0001906063394634356,
+      "loss": 0.8786,
+      "step": 360
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0001905433567637689,
+      "loss": 0.9117,
+      "step": 361
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.000190480174102646,
+      "loss": 0.9182,
+      "step": 362
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0001904167916196033,
+      "loss": 0.9706,
+      "step": 363
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0001903532094546186,
+      "loss": 0.8036,
+      "step": 364
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0001902894277481105,
+      "loss": 0.902,
+      "step": 365
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.00019022544664093854,
+      "loss": 0.9231,
+      "step": 366
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.00019016126627440237,
+      "loss": 0.9751,
+      "step": 367
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0001900968867902419,
+      "loss": 0.8373,
+      "step": 368
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0001900323083306367,
+      "loss": 0.8695,
+      "step": 369
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0001899675310382057,
+      "loss": 0.8654,
+      "step": 370
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.00018990255505600706,
+      "loss": 0.98,
+      "step": 371
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.00018983738052753767,
+      "loss": 0.7454,
+      "step": 372
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.00018977200759673295,
+      "loss": 0.829,
+      "step": 373
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.00018970643640796642,
+      "loss": 0.8262,
+      "step": 374
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0001896406671060495,
+      "loss": 1.0659,
+      "step": 375
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.00018957469983623112,
+      "loss": 0.8551,
+      "step": 376
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.00018950853474419742,
+      "loss": 0.7991,
+      "step": 377
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0001894421719760714,
+      "loss": 0.8662,
+      "step": 378
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.00018937561167841263,
+      "loss": 0.8817,
+      "step": 379
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.00018930885399821693,
+      "loss": 1.0894,
+      "step": 380
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.000189241899082916,
+      "loss": 0.8225,
+      "step": 381
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00018917474708037718,
+      "loss": 0.9065,
+      "step": 382
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00018910739813890302,
+      "loss": 0.8779,
+      "step": 383
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00018903985240723104,
+      "loss": 0.7909,
+      "step": 384
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00018897211003453328,
+      "loss": 0.7649,
+      "step": 385
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00018890417117041619,
+      "loss": 0.9788,
+      "step": 386
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00018883603596492004,
+      "loss": 0.938,
+      "step": 387
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00018876770456851877,
+      "loss": 0.9032,
+      "step": 388
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00018869917713211964,
+      "loss": 0.9059,
+      "step": 389
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00018863045380706274,
+      "loss": 0.8896,
+      "step": 390
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0001885615347451209,
+      "loss": 0.7614,
+      "step": 391
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0001884924200984991,
+      "loss": 0.978,
+      "step": 392
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0001884231100198344,
+      "loss": 0.9406,
+      "step": 393
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.00018835360466219533,
+      "loss": 0.7555,
+      "step": 394
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0001882839041790818,
+      "loss": 0.9049,
+      "step": 395
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.00018821400872442458,
+      "loss": 0.7041,
+      "step": 396
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.00018814391845258505,
+      "loss": 0.8995,
+      "step": 397
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0001880736335183548,
+      "loss": 0.7461,
+      "step": 398
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.00018800315407695539,
+      "loss": 0.9954,
+      "step": 399
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.00018793248028403788,
+      "loss": 0.9035,
+      "step": 400
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0001878616122956826,
+      "loss": 0.9083,
+      "step": 401
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.00018779055026839868,
+      "loss": 0.7286,
+      "step": 402
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0001877192943591239,
+      "loss": 0.8001,
+      "step": 403
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00018764784472522403,
+      "loss": 0.8795,
+      "step": 404
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0001875762015244929,
+      "loss": 0.8912,
+      "step": 405
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00018750436491515163,
+      "loss": 0.8848,
+      "step": 406
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00018743233505584862,
+      "loss": 0.8512,
+      "step": 407
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00018736011210565898,
+      "loss": 0.8537,
+      "step": 408
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.00018728769622408423,
+      "loss": 0.8777,
+      "step": 409
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.00018721508757105202,
+      "loss": 0.7849,
+      "step": 410
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.00018714228630691576,
+      "loss": 0.9669,
+      "step": 411
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0001870692925924541,
+      "loss": 0.9299,
+      "step": 412
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.00018699610658887088,
+      "loss": 1.0188,
+      "step": 413
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.00018692272845779448,
+      "loss": 0.8388,
+      "step": 414
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.00018684915836127765,
+      "loss": 0.7904,
+      "step": 415
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.00018677539646179707,
+      "loss": 0.9689,
+      "step": 416
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.00018670144292225297,
+      "loss": 0.7339,
+      "step": 417
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.00018662729790596888,
+      "loss": 0.7894,
+      "step": 418
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.00018655296157669117,
+      "loss": 0.7163,
+      "step": 419
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.00018647843409858869,
+      "loss": 0.8642,
+      "step": 420
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.00018640371563625246,
+      "loss": 0.9281,
+      "step": 421
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.00018632880635469526,
+      "loss": 0.834,
+      "step": 422
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.00018625370641935129,
+      "loss": 0.7316,
+      "step": 423
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.00018617841599607586,
+      "loss": 0.8504,
+      "step": 424
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.00018610293525114492,
+      "loss": 0.8731,
+      "step": 425
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.00018602726435125474,
+      "loss": 0.8803,
+      "step": 426
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0001859514034635215,
+      "loss": 0.8417,
+      "step": 427
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.000185875352755481,
+      "loss": 0.8947,
+      "step": 428
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.00018579911239508827,
+      "loss": 0.8368,
+      "step": 429
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.00018572268255071718,
+      "loss": 0.8231,
+      "step": 430
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.00018564606339116,
+      "loss": 0.8576,
+      "step": 431
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0001855692550856272,
+      "loss": 0.8753,
+      "step": 432
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.00018549225780374685,
+      "loss": 0.7778,
+      "step": 433
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.00018541507171556445,
+      "loss": 0.7516,
+      "step": 434
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0001853376969915425,
+      "loss": 0.7466,
+      "step": 435
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.00018526013380255999,
+      "loss": 0.917,
+      "step": 436
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.00018518238231991218,
+      "loss": 0.9042,
+      "step": 437
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.00018510444271531022,
+      "loss": 0.8587,
+      "step": 438
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.00018502631516088066,
+      "loss": 0.9001,
+      "step": 439
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0001849479998291651,
+      "loss": 0.7977,
+      "step": 440
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.00018486949689311993,
+      "loss": 0.8711,
+      "step": 441
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.00018479080652611583,
+      "loss": 0.7192,
+      "step": 442
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0001847119289019373,
+      "loss": 0.9608,
+      "step": 443
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.00018463286419478255,
+      "loss": 0.7097,
+      "step": 444
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0001845536125792629,
+      "loss": 0.7354,
+      "step": 445
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0001844741742304024,
+      "loss": 0.8711,
+      "step": 446
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.00018439454932363755,
+      "loss": 0.8832,
+      "step": 447
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.00018431473803481684,
+      "loss": 0.932,
+      "step": 448
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.00018423474054020034,
+      "loss": 0.8394,
+      "step": 449
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.00018415455701645942,
+      "loss": 0.7698,
+      "step": 450
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.00018407418764067627,
+      "loss": 0.8856,
+      "step": 451
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.00018399363259034347,
+      "loss": 0.8529,
+      "step": 452
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.00018391289204336368,
+      "loss": 0.9898,
+      "step": 453
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.00018383196617804926,
+      "loss": 0.8312,
+      "step": 454
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.00018375085517312182,
+      "loss": 0.8234,
+      "step": 455
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.00018366955920771184,
+      "loss": 0.7871,
+      "step": 456
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.00018358807846135825,
+      "loss": 0.9814,
+      "step": 457
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.00018350641311400812,
+      "loss": 0.8183,
+      "step": 458
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0001834245633460161,
+      "loss": 0.8961,
+      "step": 459
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.00018334252933814427,
+      "loss": 0.9166,
+      "step": 460
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.00018326031127156148,
+      "loss": 1.0031,
+      "step": 461
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.00018317790932784317,
+      "loss": 0.8171,
+      "step": 462
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0001830953236889707,
+      "loss": 0.83,
+      "step": 463
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.00018301255453733134,
+      "loss": 0.8134,
+      "step": 464
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0001829296020557174,
+      "loss": 0.8561,
+      "step": 465
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0001828464664273263,
+      "loss": 0.8669,
+      "step": 466
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0001827631478357597,
+      "loss": 1.003,
+      "step": 467
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.00018267964646502357,
+      "loss": 0.8715,
+      "step": 468
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.00018259596249952731,
+      "loss": 0.7434,
+      "step": 469
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.00018251209612408373,
+      "loss": 0.9163,
+      "step": 470
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.00018242804752390844,
+      "loss": 1.0639,
+      "step": 471
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.00018234381688461942,
+      "loss": 0.8266,
+      "step": 472
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.00018225940439223684,
+      "loss": 0.7582,
+      "step": 473
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0001821748102331823,
+      "loss": 0.8547,
+      "step": 474
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0001820900345942787,
+      "loss": 0.7908,
+      "step": 475
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.00018200507766274977,
+      "loss": 0.6203,
+      "step": 476
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0001819199396262195,
+      "loss": 0.806,
+      "step": 477
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0001818346206727119,
+      "loss": 0.8016,
+      "step": 478
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0001817491209906506,
+      "loss": 0.8548,
+      "step": 479
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.00018166344076885827,
+      "loss": 0.9194,
+      "step": 480
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.00018157758019655634,
+      "loss": 0.8704,
+      "step": 481
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.00018149153946336446,
+      "loss": 0.8373,
+      "step": 482
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0001814053187593003,
+      "loss": 0.8229,
+      "step": 483
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.00018131891827477884,
+      "loss": 0.8289,
+      "step": 484
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.00018123233820061218,
+      "loss": 0.7753,
+      "step": 485
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.00018114557872800905,
+      "loss": 1.029,
+      "step": 486
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0001810586400485743,
+      "loss": 0.6198,
+      "step": 487
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0001809715223543087,
+      "loss": 0.8418,
+      "step": 488
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.00018088422583760813,
+      "loss": 0.7421,
+      "step": 489
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0001807967506912636,
+      "loss": 0.8032,
+      "step": 490
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.00018070909710846052,
+      "loss": 0.7956,
+      "step": 491
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.00018062126528277844,
+      "loss": 0.9013,
+      "step": 492
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.00018053325540819045,
+      "loss": 0.9582,
+      "step": 493
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.00018044506767906295,
+      "loss": 0.6845,
+      "step": 494
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.00018035670229015507,
+      "loss": 0.8731,
+      "step": 495
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0001802681594366183,
+      "loss": 0.8369,
+      "step": 496
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.00018017943931399603,
+      "loss": 0.6557,
+      "step": 497
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.00018009054211822324,
+      "loss": 0.7997,
+      "step": 498
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0001800014680456259,
+      "loss": 0.8348,
+      "step": 499
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0001799122172929206,
+      "loss": 0.9043,
+      "step": 500
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.00017982279005721407,
+      "loss": 0.8499,
+      "step": 501
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.00017973318653600293,
+      "loss": 0.8595,
+      "step": 502
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.00017964340692717303,
+      "loss": 0.9468,
+      "step": 503
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0001795534514289991,
+      "loss": 0.9848,
+      "step": 504
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.00017946332024014434,
+      "loss": 0.7326,
+      "step": 505
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.00017937301355965996,
+      "loss": 0.8479,
+      "step": 506
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.00017928253158698473,
+      "loss": 0.8669,
+      "step": 507
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.00017919187452194454,
+      "loss": 0.8163,
+      "step": 508
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.00017910104256475194,
+      "loss": 0.926,
+      "step": 509
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.00017901003591600575,
+      "loss": 0.7956,
+      "step": 510
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.00017891885477669064,
+      "loss": 0.9002,
+      "step": 511
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.00017882749934817652,
+      "loss": 0.787,
+      "step": 512
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.00017873596983221832,
+      "loss": 0.7519,
+      "step": 513
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0001786442664309554,
+      "loss": 0.8067,
+      "step": 514
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.00017855238934691108,
+      "loss": 0.8824,
+      "step": 515
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0001784603387829923,
+      "loss": 0.8014,
+      "step": 516
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.00017836811494248919,
+      "loss": 0.6672,
+      "step": 517
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.00017827571802907444,
+      "loss": 0.8516,
+      "step": 518
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.000178183148246803,
+      "loss": 0.8476,
+      "step": 519
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.00017809040580011164,
+      "loss": 0.8493,
+      "step": 520
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0001779974908938184,
+      "loss": 0.7288,
+      "step": 521
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.00017790440373312223,
+      "loss": 0.7443,
+      "step": 522
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.00017781114452360245,
+      "loss": 0.8767,
+      "step": 523
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.00017771771347121842,
+      "loss": 0.8025,
+      "step": 524
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0001776241107823089,
+      "loss": 0.8842,
+      "step": 525
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.00017753033666359177,
+      "loss": 0.9648,
+      "step": 526
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.00017743639132216353,
+      "loss": 0.7872,
+      "step": 527
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0001773422749654988,
+      "loss": 0.9122,
+      "step": 528
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.00017724798780144983,
+      "loss": 0.7688,
+      "step": 529
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0001771535300382461,
+      "loss": 0.8938,
+      "step": 530
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.00017705890188449394,
+      "loss": 0.7152,
+      "step": 531
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0001769641035491759,
+      "loss": 0.7077,
+      "step": 532
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.00017686913524165036,
+      "loss": 0.8872,
+      "step": 533
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.00017677399717165116,
+      "loss": 0.8775,
+      "step": 534
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.00017667868954928694,
+      "loss": 0.8508,
+      "step": 535
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.00017658321258504092,
+      "loss": 0.8589,
+      "step": 536
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.00017648756648977018,
+      "loss": 0.6499,
+      "step": 537
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.00017639175147470538,
+      "loss": 0.8927,
+      "step": 538
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.00017629576775145026,
+      "loss": 0.8702,
+      "step": 539
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.00017619961553198108,
+      "loss": 0.7958,
+      "step": 540
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.00017610329502864625,
+      "loss": 0.8582,
+      "step": 541
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.00017600680645416583,
+      "loss": 0.7905,
+      "step": 542
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0001759101500216311,
+      "loss": 0.7574,
+      "step": 543
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.00017581332594450392,
+      "loss": 0.861,
+      "step": 544
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.00017571633443661658,
+      "loss": 0.7682,
+      "step": 545
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.00017561917571217093,
+      "loss": 0.7547,
+      "step": 546
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.00017552184998573825,
+      "loss": 0.7852,
+      "step": 547
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0001754243574722586,
+      "loss": 0.7635,
+      "step": 548
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.00017532669838704035,
+      "loss": 0.8714,
+      "step": 549
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.00017522887294575977,
+      "loss": 0.7839,
+      "step": 550
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.00017513088136446054,
+      "loss": 0.8551,
+      "step": 551
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.00017503272385955318,
+      "loss": 0.7367,
+      "step": 552
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 0.00017493440064781475,
+      "loss": 0.9257,
+      "step": 553
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 0.00017483591194638817,
+      "loss": 0.8246,
+      "step": 554
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 0.00017473725797278192,
+      "loss": 0.8319,
+      "step": 555
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 0.00017463843894486937,
+      "loss": 0.8304,
+      "step": 556
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 0.00017453945508088853,
+      "loss": 0.6536,
+      "step": 557
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 0.00017444030659944138,
+      "loss": 0.7606,
+      "step": 558
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 0.00017434099371949345,
+      "loss": 0.7084,
+      "step": 559
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 0.00017424151666037329,
+      "loss": 0.8891,
+      "step": 560
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 0.00017414187564177217,
+      "loss": 0.6199,
+      "step": 561
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 0.00017404207088374333,
+      "loss": 0.8676,
+      "step": 562
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 0.0001739421026067017,
+      "loss": 0.8477,
+      "step": 563
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 0.00017384197103142328,
+      "loss": 0.9234,
+      "step": 564
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 0.0001737416763790447,
+      "loss": 0.9103,
+      "step": 565
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 0.00017364121887106286,
+      "loss": 0.7859,
+      "step": 566
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 0.00017354059872933415,
+      "loss": 0.8623,
+      "step": 567
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 0.00017343981617607424,
+      "loss": 0.6266,
+      "step": 568
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 0.00017333887143385743,
+      "loss": 0.8105,
+      "step": 569
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 0.00017323776472561627,
+      "loss": 0.7752,
+      "step": 570
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 0.0001731364962746409,
+      "loss": 0.7873,
+      "step": 571
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 0.0001730350663045788,
+      "loss": 0.8425,
+      "step": 572
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 0.00017293347503943406,
+      "loss": 0.777,
+      "step": 573
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.000172831722703567,
+      "loss": 0.7348,
+      "step": 574
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.00017272980952169365,
+      "loss": 0.7797,
+      "step": 575
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.0001726277357188853,
+      "loss": 0.8328,
+      "step": 576
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.00017252550152056795,
+      "loss": 0.7109,
+      "step": 577
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.0001724231071525218,
+      "loss": 0.7905,
+      "step": 578
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 0.00017232055284088085,
+      "loss": 0.7541,
+      "step": 579
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 0.0001722178388121322,
+      "loss": 0.8954,
+      "step": 580
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 0.00017211496529311582,
+      "loss": 0.8362,
+      "step": 581
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 0.00017201193251102382,
+      "loss": 0.8436,
+      "step": 582
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.00017190874069340014,
+      "loss": 0.7594,
+      "step": 583
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.0001718053900681397,
+      "loss": 0.9342,
+      "step": 584
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.00017170188086348848,
+      "loss": 0.8934,
+      "step": 585
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.00017159821330804236,
+      "loss": 0.831,
+      "step": 586
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.0001714943876307472,
+      "loss": 0.8053,
+      "step": 587
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 0.00017139040406089786,
+      "loss": 0.81,
+      "step": 588
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 0.000171286262828138,
+      "loss": 0.8245,
+      "step": 589
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 0.00017118196416245947,
+      "loss": 0.8232,
+      "step": 590
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 0.00017107750829420176,
+      "loss": 0.8244,
+      "step": 591
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 0.0001709728954540516,
+      "loss": 0.7863,
+      "step": 592
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 0.00017086812587304234,
+      "loss": 0.8274,
+      "step": 593
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 0.00017076319978255345,
+      "loss": 0.6595,
+      "step": 594
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 0.0001706581174143101,
+      "loss": 0.8582,
+      "step": 595
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.00017055287900038263,
+      "loss": 0.6873,
+      "step": 596
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.00017044748477318593,
+      "loss": 0.8673,
+      "step": 597
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.00017034193496547902,
+      "loss": 0.8055,
+      "step": 598
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.00017023622981036455,
+      "loss": 0.8232,
+      "step": 599
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.0001701303695412881,
+      "loss": 0.8745,
+      "step": 600
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 0.00017002435439203808,
+      "loss": 0.8034,
+      "step": 601
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 0.00016991818459674468,
+      "loss": 0.9006,
+      "step": 602
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 0.0001698118603898798,
+      "loss": 0.7828,
+      "step": 603
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 0.00016970538200625622,
+      "loss": 0.8413,
+      "step": 604
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 0.00016959874968102735,
+      "loss": 0.8669,
+      "step": 605
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 0.00016949196364968646,
+      "loss": 0.9277,
+      "step": 606
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 0.00016938502414806634,
+      "loss": 0.9256,
+      "step": 607
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 0.00016927793141233868,
+      "loss": 0.8613,
+      "step": 608
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 0.00016917068567901358,
+      "loss": 0.9439,
+      "step": 609
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 0.00016906328718493906,
+      "loss": 0.8606,
+      "step": 610
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 0.00016895573616730044,
+      "loss": 0.7483,
+      "step": 611
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 0.00016884803286362,
+      "loss": 0.8359,
+      "step": 612
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 0.0001687401775117562,
+      "loss": 0.7764,
+      "step": 613
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 0.00016863217034990342,
+      "loss": 0.9857,
+      "step": 614
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 0.0001685240116165912,
+      "loss": 0.8706,
+      "step": 615
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 0.0001684157015506839,
+      "loss": 0.867,
+      "step": 616
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 0.00016830724039138003,
+      "loss": 0.7974,
+      "step": 617
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 0.00016819862837821181,
+      "loss": 0.7835,
+      "step": 618
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 0.00016808986575104465,
+      "loss": 0.7987,
+      "step": 619
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 0.0001679809527500765,
+      "loss": 0.7383,
+      "step": 620
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 0.0001678718896158375,
+      "loss": 0.9224,
+      "step": 621
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 0.00016776267658918928,
+      "loss": 0.8959,
+      "step": 622
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 0.00016765331391132456,
+      "loss": 0.6702,
+      "step": 623
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 0.0001675438018237665,
+      "loss": 0.6911,
+      "step": 624
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 0.00016743414056836825,
+      "loss": 0.9364,
+      "step": 625
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 0.00016732433038731242,
+      "loss": 0.7902,
+      "step": 626
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 0.00016721437152311054,
+      "loss": 0.8473,
+      "step": 627
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 0.00016710426421860235,
+      "loss": 0.8765,
+      "step": 628
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 0.00016699400871695555,
+      "loss": 0.7705,
+      "step": 629
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 0.00016688360526166514,
+      "loss": 0.8653,
+      "step": 630
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.0001667730540965528,
+      "loss": 0.9137,
+      "step": 631
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.00016666235546576648,
+      "loss": 0.9772,
+      "step": 632
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.0001665515096137797,
+      "loss": 0.6433,
+      "step": 633
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.0001664405167853912,
+      "loss": 0.8096,
+      "step": 634
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.00016632937722572434,
+      "loss": 0.7298,
+      "step": 635
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 0.00016621809118022647,
+      "loss": 0.6841,
+      "step": 636
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 0.00016610665889466838,
+      "loss": 0.9471,
+      "step": 637
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 0.00016599508061514404,
+      "loss": 0.8396,
+      "step": 638
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 0.00016588335658806962,
+      "loss": 0.8769,
+      "step": 639
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 0.00016577148706018328,
+      "loss": 0.8328,
+      "step": 640
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 0.0001656594722785445,
+      "loss": 0.8932,
+      "step": 641
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 0.0001655473124905335,
+      "loss": 0.8203,
+      "step": 642
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 0.00016543500794385084,
+      "loss": 0.8514,
+      "step": 643
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 0.00016532255888651666,
+      "loss": 0.7396,
+      "step": 644
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 0.00016520996556687028,
+      "loss": 0.9178,
+      "step": 645
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 0.0001650972282335697,
+      "loss": 0.6308,
+      "step": 646
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 0.00016498434713559088,
+      "loss": 0.9018,
+      "step": 647
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 0.00016487132252222727,
+      "loss": 0.8658,
+      "step": 648
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 0.00016475815464308933,
+      "loss": 0.8228,
+      "step": 649
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 0.0001646448437481039,
+      "loss": 0.8944,
+      "step": 650
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 0.0001645313900875136,
+      "loss": 0.8617,
+      "step": 651
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 0.00016441779391187646,
+      "loss": 0.9726,
+      "step": 652
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 0.00016430405547206516,
+      "loss": 0.693,
+      "step": 653
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 0.00016419017501926656,
+      "loss": 0.8272,
+      "step": 654
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 0.00016407615280498124,
+      "loss": 0.8523,
+      "step": 655
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 0.00016396198908102272,
+      "loss": 0.7444,
+      "step": 656
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.00016384768409951714,
+      "loss": 0.8366,
+      "step": 657
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.0001637332381129026,
+      "loss": 0.7441,
+      "step": 658
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.00016361865137392854,
+      "loss": 0.6694,
+      "step": 659
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.0001635039241356553,
+      "loss": 0.8103,
+      "step": 660
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.0001633890566514535,
+      "loss": 0.9135,
+      "step": 661
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 0.00016327404917500346,
+      "loss": 0.7327,
+      "step": 662
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 0.00016315890196029467,
+      "loss": 0.8425,
+      "step": 663
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 0.00016304361526162534,
+      "loss": 0.8812,
+      "step": 664
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 0.00016292818933360151,
+      "loss": 0.777,
+      "step": 665
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.0001628126244311369,
+      "loss": 0.8864,
+      "step": 666
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.00016269692080945198,
+      "loss": 0.9333,
+      "step": 667
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.00016258107872407375,
+      "loss": 0.906,
+      "step": 668
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.00016246509843083492,
+      "loss": 0.7346,
+      "step": 669
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.00016234898018587337,
+      "loss": 0.8555,
+      "step": 670
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 0.00016223272424563173,
+      "loss": 0.8449,
+      "step": 671
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 0.00016211633086685664,
+      "loss": 0.8559,
+      "step": 672
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 0.00016199980030659838,
+      "loss": 0.7468,
+      "step": 673
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 0.00016188313282221008,
+      "loss": 0.7986,
+      "step": 674
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 0.0001617663286713474,
+      "loss": 0.7757,
+      "step": 675
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 0.00016164938811196757,
+      "loss": 0.8789,
+      "step": 676
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 0.00016153231140232936,
+      "loss": 0.5499,
+      "step": 677
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 0.00016141509880099206,
+      "loss": 0.9319,
+      "step": 678
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.00016129775056681513,
+      "loss": 0.6904,
+      "step": 679
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.0001611802669589575,
+      "loss": 0.8506,
+      "step": 680
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.00016106264823687716,
+      "loss": 0.7242,
+      "step": 681
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.00016094489466033043,
+      "loss": 0.6808,
+      "step": 682
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.00016082700648937146,
+      "loss": 0.8017,
+      "step": 683
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 0.00016070898398435167,
+      "loss": 0.9109,
+      "step": 684
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 0.00016059082740591915,
+      "loss": 0.7277,
+      "step": 685
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 0.00016047253701501808,
+      "loss": 0.8601,
+      "step": 686
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 0.00016035411307288813,
+      "loss": 0.9118,
+      "step": 687
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 0.0001602355558410639,
+      "loss": 0.8049,
+      "step": 688
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 0.00016011686558137448,
+      "loss": 0.8174,
+      "step": 689
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 0.00015999804255594258,
+      "loss": 0.8481,
+      "step": 690
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 0.0001598790870271843,
+      "loss": 0.7052,
+      "step": 691
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 0.00015975999925780813,
+      "loss": 0.8208,
+      "step": 692
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 0.00015964077951081485,
+      "loss": 0.7257,
+      "step": 693
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 0.00015952142804949652,
+      "loss": 0.858,
+      "step": 694
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 0.00015940194513743624,
+      "loss": 0.9242,
+      "step": 695
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 0.0001592823310385073,
+      "loss": 0.7924,
+      "step": 696
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 0.00015916258601687274,
+      "loss": 0.8788,
+      "step": 697
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 0.0001590427103369848,
+      "loss": 0.7946,
+      "step": 698
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 0.00015892270426358414,
+      "loss": 0.8318,
+      "step": 699
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 0.00015880256806169953,
+      "loss": 0.8983,
+      "step": 700
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 0.00015868230199664711,
+      "loss": 0.8889,
+      "step": 701
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 0.00015856190633402968,
+      "loss": 0.9692,
+      "step": 702
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 0.0001584413813397364,
+      "loss": 0.7787,
+      "step": 703
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 0.00015832072727994193,
+      "loss": 0.6455,
+      "step": 704
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00015819994442110616,
+      "loss": 1.0006,
+      "step": 705
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00015807903302997317,
+      "loss": 0.7384,
+      "step": 706
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00015795799337357114,
+      "loss": 0.8517,
+      "step": 707
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00015783682571921133,
+      "loss": 0.8446,
+      "step": 708
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00015771553033448775,
+      "loss": 0.8227,
+      "step": 709
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 0.00015759410748727662,
+      "loss": 0.8374,
+      "step": 710
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 0.0001574725574457354,
+      "loss": 0.7274,
+      "step": 711
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 0.00015735088047830268,
+      "loss": 0.8728,
+      "step": 712
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 0.00015722907685369723,
+      "loss": 1.0569,
+      "step": 713
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.00015710714684091762,
+      "loss": 0.9775,
+      "step": 714
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.0001569850907092415,
+      "loss": 0.6832,
+      "step": 715
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.00015686290872822504,
+      "loss": 0.7358,
+      "step": 716
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.00015674060116770236,
+      "loss": 0.9015,
+      "step": 717
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.00015661816829778494,
+      "loss": 0.8516,
+      "step": 718
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 0.00015649561038886094,
+      "loss": 0.8911,
+      "step": 719
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 0.00015637292771159472,
+      "loss": 0.7098,
+      "step": 720
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 0.00015625012053692615,
+      "loss": 0.955,
+      "step": 721
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 0.0001561271891360701,
+      "loss": 0.6421,
+      "step": 722
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 0.0001560041337805157,
+      "loss": 0.8807,
+      "step": 723
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 0.00015588095474202595,
+      "loss": 0.722,
+      "step": 724
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 0.00015575765229263686,
+      "loss": 0.8055,
+      "step": 725
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 0.00015563422670465712,
+      "loss": 0.7822,
+      "step": 726
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 0.00015551067825066728,
+      "loss": 0.8311,
+      "step": 727
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 0.00015538700720351924,
+      "loss": 0.8519,
+      "step": 728
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 0.00015526321383633568,
+      "loss": 0.7506,
+      "step": 729
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 0.0001551392984225094,
+      "loss": 0.8056,
+      "step": 730
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 0.00015501526123570277,
+      "loss": 0.6968,
+      "step": 731
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 0.000154891102549847,
+      "loss": 0.829,
+      "step": 732
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 0.0001547668226391417,
+      "loss": 0.6682,
+      "step": 733
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 0.00015464242177805422,
+      "loss": 0.8295,
+      "step": 734
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 0.00015451790024131895,
+      "loss": 0.6911,
+      "step": 735
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 0.00015439325830393687,
+      "loss": 0.6785,
+      "step": 736
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 0.00015426849624117472,
+      "loss": 0.81,
+      "step": 737
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 0.00015414361432856475,
+      "loss": 0.9955,
+      "step": 738
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 0.00015401861284190368,
+      "loss": 0.8433,
+      "step": 739
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.00015389349205725242,
+      "loss": 0.618,
+      "step": 740
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.00015376825225093537,
+      "loss": 0.7747,
+      "step": 741
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.00015364289369953967,
+      "loss": 0.7673,
+      "step": 742
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.0001535174166799148,
+      "loss": 0.8066,
+      "step": 743
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.00015339182146917183,
+      "loss": 0.8392,
+      "step": 744
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 0.0001532661083446829,
+      "loss": 0.7949,
+      "step": 745
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 0.00015314027758408044,
+      "loss": 0.8698,
+      "step": 746
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 0.00015301432946525684,
+      "loss": 0.7715,
+      "step": 747
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 0.00015288826426636354,
+      "loss": 0.7583,
+      "step": 748
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 0.00015276208226581064,
+      "loss": 0.8544,
+      "step": 749
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 0.00015263578374226605,
+      "loss": 0.8272,
+      "step": 750
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 0.0001525093689746552,
+      "loss": 0.857,
+      "step": 751
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 0.00015238283824216015,
+      "loss": 0.9208,
+      "step": 752
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 0.000152256191824219,
+      "loss": 0.8626,
+      "step": 753
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 0.00015212943000052545,
+      "loss": 0.9418,
+      "step": 754
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 0.00015200255305102803,
+      "loss": 0.8087,
+      "step": 755
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 0.00015187556125592945,
+      "loss": 0.7913,
+      "step": 756
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 0.00015174845489568622,
+      "loss": 0.8973,
+      "step": 757
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 0.00015162123425100762,
+      "loss": 0.701,
+      "step": 758
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 0.00015149389960285558,
+      "loss": 0.898,
+      "step": 759
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 0.00015136645123244366,
+      "loss": 0.8809,
+      "step": 760
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 0.00015123888942123652,
+      "loss": 0.7334,
+      "step": 761
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.0001511112144509495,
+      "loss": 0.8506,
+      "step": 762
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.00015098342660354775,
+      "loss": 0.8469,
+      "step": 763
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.0001508555261612457,
+      "loss": 1.0353,
+      "step": 764
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.0001507275134065065,
+      "loss": 0.6269,
+      "step": 765
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.00015059938862204127,
+      "loss": 0.7825,
+      "step": 766
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 0.0001504711520908086,
+      "loss": 0.8388,
+      "step": 767
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 0.00015034280409601385,
+      "loss": 0.7383,
+      "step": 768
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 0.00015021434492110852,
+      "loss": 0.8029,
+      "step": 769
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 0.00015008577484978966,
+      "loss": 0.6527,
+      "step": 770
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 0.00014995709416599926,
+      "loss": 0.9434,
+      "step": 771
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 0.00014982830315392358,
+      "loss": 0.753,
+      "step": 772
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 0.00014969940209799248,
+      "loss": 0.8143,
+      "step": 773
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 0.00014957039128287892,
+      "loss": 0.8939,
+      "step": 774
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 0.0001494412709934982,
+      "loss": 0.9265,
+      "step": 775
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 0.00014931204151500747,
+      "loss": 0.8261,
+      "step": 776
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 0.00014918270313280495,
+      "loss": 0.8555,
+      "step": 777
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 0.00014905325613252937,
+      "loss": 0.8191,
+      "step": 778
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 0.00014892370080005936,
+      "loss": 0.9159,
+      "step": 779
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 0.00014879403742151283,
+      "loss": 0.7936,
+      "step": 780
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 0.00014866426628324625,
+      "loss": 0.8782,
+      "step": 781
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 0.00014853438767185412,
+      "loss": 0.6078,
+      "step": 782
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 0.0001484044018741682,
+      "loss": 0.7182,
+      "step": 783
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 0.00014827430917725712,
+      "loss": 0.7528,
+      "step": 784
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 0.00014814410986842543,
+      "loss": 0.902,
+      "step": 785
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 0.00014801380423521324,
+      "loss": 0.8765,
+      "step": 786
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 0.00014788339256539544,
+      "loss": 0.6332,
+      "step": 787
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.00014775287514698105,
+      "loss": 0.7258,
+      "step": 788
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.00014762225226821273,
+      "loss": 0.7754,
+      "step": 789
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.00014749152421756595,
+      "loss": 0.7039,
+      "step": 790
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.0001473606912837485,
+      "loss": 0.8563,
+      "step": 791
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.00014722975375569978,
+      "loss": 0.8956,
+      "step": 792
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 0.00014709871192259026,
+      "loss": 0.8724,
+      "step": 793
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 0.0001469675660738206,
+      "loss": 0.8885,
+      "step": 794
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 0.00014683631649902132,
+      "loss": 0.7637,
+      "step": 795
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 0.00014670496348805195,
+      "loss": 0.7596,
+      "step": 796
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.00014657350733100047,
+      "loss": 0.8221,
+      "step": 797
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.00014644194831818266,
+      "loss": 0.8475,
+      "step": 798
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.00014631028674014142,
+      "loss": 0.7966,
+      "step": 799
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.00014617852288764625,
+      "loss": 0.9186,
+      "step": 800
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 0.00014604665705169237,
+      "loss": 0.9027,
+      "step": 801
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 0.0001459146895235004,
+      "loss": 0.9357,
+      "step": 802
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 0.00014578262059451537,
+      "loss": 0.9202,
+      "step": 803
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 0.00014565045055640638,
+      "loss": 0.9226,
+      "step": 804
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 0.0001455181797010658,
+      "loss": 0.8416,
+      "step": 805
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 0.0001453858083206086,
+      "loss": 0.8192,
+      "step": 806
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 0.0001452533367073718,
+      "loss": 0.8309,
+      "step": 807
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 0.00014512076515391375,
+      "loss": 0.7646,
+      "step": 808
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 0.00014498809395301356,
+      "loss": 0.9335,
+      "step": 809
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 0.00014485532339767037,
+      "loss": 0.9696,
+      "step": 810
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 0.00014472245378110277,
+      "loss": 0.7,
+      "step": 811
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 0.000144589485396748,
+      "loss": 0.8206,
+      "step": 812
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 0.0001444564185382617,
+      "loss": 0.7417,
+      "step": 813
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 0.00014432325349951667,
+      "loss": 0.6384,
+      "step": 814
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 0.00014418999057460276,
+      "loss": 0.7801,
+      "step": 815
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 0.0001440566300578259,
+      "loss": 0.8459,
+      "step": 816
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 0.0001439231722437075,
+      "loss": 0.8863,
+      "step": 817
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 0.000143789617426984,
+      "loss": 0.8502,
+      "step": 818
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 0.000143655965902606,
+      "loss": 0.8522,
+      "step": 819
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 0.00014352221796573757,
+      "loss": 0.8612,
+      "step": 820
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 0.00014338837391175582,
+      "loss": 0.8065,
+      "step": 821
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 0.0001432544340362501,
+      "loss": 0.8777,
+      "step": 822
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00014312039863502145,
+      "loss": 0.7731,
+      "step": 823
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00014298626800408166,
+      "loss": 0.8791,
+      "step": 824
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00014285204243965306,
+      "loss": 0.9095,
+      "step": 825
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00014271772223816757,
+      "loss": 0.8846,
+      "step": 826
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00014258330769626606,
+      "loss": 0.701,
+      "step": 827
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 0.00014244879911079779,
+      "loss": 0.7598,
+      "step": 828
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 0.00014231419677881966,
+      "loss": 1.0411,
+      "step": 829
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 0.00014217950099759569,
+      "loss": 0.6915,
+      "step": 830
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 0.00014204471206459628,
+      "loss": 0.8048,
+      "step": 831
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 0.0001419098302774974,
+      "loss": 0.7688,
+      "step": 832
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 0.00014177485593418028,
+      "loss": 0.7863,
+      "step": 833
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 0.0001416397893327304,
+      "loss": 0.7627,
+      "step": 834
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 0.00014150463077143712,
+      "loss": 0.7423,
+      "step": 835
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 0.00014136938054879283,
+      "loss": 0.7236,
+      "step": 836
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 0.00014123403896349227,
+      "loss": 0.8978,
+      "step": 837
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 0.00014109860631443213,
+      "loss": 0.9403,
+      "step": 838
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 0.00014096308290071003,
+      "loss": 0.7267,
+      "step": 839
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 0.00014082746902162414,
+      "loss": 0.7905,
+      "step": 840
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 0.00014069176497667242,
+      "loss": 0.8848,
+      "step": 841
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 0.00014055597106555192,
+      "loss": 0.9057,
+      "step": 842
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 0.00014042008758815818,
+      "loss": 0.7363,
+      "step": 843
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 0.00014028411484458454,
+      "loss": 0.8193,
+      "step": 844
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 0.00014014805313512145,
+      "loss": 0.7387,
+      "step": 845
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 0.00014001190276025593,
+      "loss": 0.8871,
+      "step": 846
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 0.0001398756640206707,
+      "loss": 0.7342,
+      "step": 847
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 0.00013973933721724363,
+      "loss": 0.8557,
+      "step": 848
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 0.0001396029226510472,
+      "loss": 0.8778,
+      "step": 849
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 0.00013946642062334766,
+      "loss": 0.7844,
+      "step": 850
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 0.00013932983143560433,
+      "loss": 0.7941,
+      "step": 851
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 0.00013919315538946905,
+      "loss": 0.7505,
+      "step": 852
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 0.0001390563927867856,
+      "loss": 0.8371,
+      "step": 853
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 0.00013891954392958878,
+      "loss": 0.8128,
+      "step": 854
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 0.0001387826091201039,
+      "loss": 0.7127,
+      "step": 855
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 0.00013864558866074622,
+      "loss": 0.8165,
+      "step": 856
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 0.00013850848285411994,
+      "loss": 0.7103,
+      "step": 857
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 0.00013837129200301794,
+      "loss": 0.8373,
+      "step": 858
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 0.00013823401641042084,
+      "loss": 0.6908,
+      "step": 859
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 0.00013809665637949637,
+      "loss": 0.7358,
+      "step": 860
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 0.00013795921221359877,
+      "loss": 0.7545,
+      "step": 861
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 0.00013782168421626816,
+      "loss": 0.7681,
+      "step": 862
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 0.00013768407269122967,
+      "loss": 1.026,
+      "step": 863
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 0.000137546377942393,
+      "loss": 0.761,
+      "step": 864
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 0.0001374086002738516,
+      "loss": 0.8442,
+      "step": 865
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 0.00013727073998988202,
+      "loss": 0.7959,
+      "step": 866
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 0.00013713279739494333,
+      "loss": 0.8061,
+      "step": 867
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 0.00013699477279367636,
+      "loss": 0.7434,
+      "step": 868
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 0.000136856666490903,
+      "loss": 0.7159,
+      "step": 869
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 0.00013671847879162562,
+      "loss": 0.867,
+      "step": 870
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.00013658021000102636,
+      "loss": 0.9237,
+      "step": 871
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.0001364418604244664,
+      "loss": 0.8545,
+      "step": 872
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.00013630343036748535,
+      "loss": 0.893,
+      "step": 873
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.00013616492013580062,
+      "loss": 0.9858,
+      "step": 874
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.0001360263300353066,
+      "loss": 0.6643,
+      "step": 875
+    },
+    {
+      "epoch": 2.01,
+      "learning_rate": 0.0001358876603720741,
+      "loss": 0.8081,
+      "step": 876
+    },
+    {
+      "epoch": 2.01,
+      "learning_rate": 0.00013574891145234962,
+      "loss": 0.7287,
+      "step": 877
+    },
+    {
+      "epoch": 2.01,
+      "learning_rate": 0.00013561008358255468,
+      "loss": 0.8078,
+      "step": 878
+    },
+    {
+      "epoch": 2.01,
+      "learning_rate": 0.0001354711770692853,
+      "loss": 0.6738,
+      "step": 879
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 0.00013533219221931102,
+      "loss": 0.7508,
+      "step": 880
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 0.0001351931293395744,
+      "loss": 0.8724,
+      "step": 881
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 0.0001350539887371904,
+      "loss": 0.9317,
+      "step": 882
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 0.00013491477071944557,
+      "loss": 0.7664,
+      "step": 883
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 0.00013477547559379748,
+      "loss": 0.8065,
+      "step": 884
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 0.00013463610366787392,
+      "loss": 0.738,
+      "step": 885
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 0.00013449665524947234,
+      "loss": 0.7554,
+      "step": 886
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 0.00013435713064655912,
+      "loss": 0.7769,
+      "step": 887
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 0.00013421753016726887,
+      "loss": 0.6507,
+      "step": 888
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 0.0001340778541199038,
+      "loss": 0.7293,
+      "step": 889
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 0.00013393810281293292,
+      "loss": 0.8305,
+      "step": 890
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 0.00013379827655499163,
+      "loss": 0.7553,
+      "step": 891
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 0.00013365837565488064,
+      "loss": 0.7724,
+      "step": 892
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 0.00013351840042156565,
+      "loss": 0.7061,
+      "step": 893
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 0.00013337835116417648,
+      "loss": 0.7078,
+      "step": 894
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 0.00013323822819200643,
+      "loss": 0.8201,
+      "step": 895
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 0.00013309803181451156,
+      "loss": 0.746,
+      "step": 896
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 0.00013295776234131015,
+      "loss": 0.8276,
+      "step": 897
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 0.0001328174200821817,
+      "loss": 0.7922,
+      "step": 898
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 0.0001326770053470668,
+      "loss": 0.7577,
+      "step": 899
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 0.00013253651844606572,
+      "loss": 0.8217,
+      "step": 900
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 0.00013239595968943832,
+      "loss": 0.7883,
+      "step": 901
+    },
+    {
+      "epoch": 2.07,
+      "learning_rate": 0.00013225532938760317,
+      "loss": 0.9568,
+      "step": 902
+    },
+    {
+      "epoch": 2.07,
+      "learning_rate": 0.00013211462785113666,
+      "loss": 0.7348,
+      "step": 903
+    },
+    {
+      "epoch": 2.07,
+      "learning_rate": 0.00013197385539077275,
+      "loss": 0.7558,
+      "step": 904
+    },
+    {
+      "epoch": 2.07,
+      "learning_rate": 0.00013183301231740183,
+      "loss": 0.7066,
+      "step": 905
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 0.0001316920989420703,
+      "loss": 0.7663,
+      "step": 906
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 0.00013155111557597985,
+      "loss": 0.79,
+      "step": 907
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 0.00013141006253048672,
+      "loss": 0.8237,
+      "step": 908
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 0.0001312689401171011,
+      "loss": 0.687,
+      "step": 909
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 0.00013112774864748621,
+      "loss": 0.8254,
+      "step": 910
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 0.0001309864884334579,
+      "loss": 0.7641,
+      "step": 911
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 0.0001308451597869839,
+      "loss": 0.7845,
+      "step": 912
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 0.00013070376302018287,
+      "loss": 0.8661,
+      "step": 913
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 0.0001305622984453241,
+      "loss": 0.9001,
+      "step": 914
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 0.00013042076637482654,
+      "loss": 0.7261,
+      "step": 915
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 0.00013027916712125826,
+      "loss": 0.7954,
+      "step": 916
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 0.0001301375009973356,
+      "loss": 0.792,
+      "step": 917
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 0.00012999576831592273,
+      "loss": 0.8423,
+      "step": 918
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 0.00012985396939003065,
+      "loss": 0.8529,
+      "step": 919
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 0.00012971210453281674,
+      "loss": 0.9086,
+      "step": 920
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 0.00012957017405758401,
+      "loss": 0.7099,
+      "step": 921
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 0.00012942817827778038,
+      "loss": 0.7515,
+      "step": 922
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 0.00012928611750699783,
+      "loss": 0.7972,
+      "step": 923
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 0.0001291439920589722,
+      "loss": 0.6615,
+      "step": 924
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 0.00012900180224758185,
+      "loss": 0.8229,
+      "step": 925
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 0.00012885954838684743,
+      "loss": 0.8146,
+      "step": 926
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 0.000128717230790931,
+      "loss": 0.8941,
+      "step": 927
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 0.00012857484977413545,
+      "loss": 0.7661,
+      "step": 928
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 0.00012843240565090365,
+      "loss": 0.7404,
+      "step": 929
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 0.00012828989873581785,
+      "loss": 0.7971,
+      "step": 930
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 0.000128147329343599,
+      "loss": 0.6813,
+      "step": 931
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 0.00012800469778910601,
+      "loss": 0.7704,
+      "step": 932
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 0.0001278620043873351,
+      "loss": 0.7751,
+      "step": 933
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 0.00012771924945341906,
+      "loss": 0.841,
+      "step": 934
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 0.00012757643330262657,
+      "loss": 0.858,
+      "step": 935
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 0.00012743355625036143,
+      "loss": 0.6657,
+      "step": 936
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 0.00012729061861216213,
+      "loss": 0.7735,
+      "step": 937
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 0.00012714762070370077,
+      "loss": 0.8935,
+      "step": 938
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 0.00012700456284078264,
+      "loss": 0.9684,
+      "step": 939
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 0.0001268614453393454,
+      "loss": 0.9117,
+      "step": 940
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 0.00012671826851545851,
+      "loss": 0.7613,
+      "step": 941
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 0.00012657503268532236,
+      "loss": 0.9567,
+      "step": 942
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 0.00012643173816526764,
+      "loss": 0.8725,
+      "step": 943
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 0.00012628838527175464,
+      "loss": 0.8088,
+      "step": 944
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 0.00012614497432137273,
+      "loss": 0.7655,
+      "step": 945
+    },
+    {
+      "epoch": 2.17,
+      "learning_rate": 0.00012600150563083927,
+      "loss": 0.7585,
+      "step": 946
+    },
+    {
+      "epoch": 2.17,
+      "learning_rate": 0.0001258579795169993,
+      "loss": 0.6351,
+      "step": 947
+    },
+    {
+      "epoch": 2.17,
+      "learning_rate": 0.0001257143962968246,
+      "loss": 0.8408,
+      "step": 948
+    },
+    {
+      "epoch": 2.17,
+      "learning_rate": 0.00012557075628741307,
+      "loss": 0.7144,
+      "step": 949
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 0.00012542705980598813,
+      "loss": 0.7022,
+      "step": 950
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 0.00012528330716989769,
+      "loss": 0.8635,
+      "step": 951
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 0.0001251394986966139,
+      "loss": 0.8489,
+      "step": 952
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 0.00012499563470373212,
+      "loss": 0.7563,
+      "step": 953
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 0.00012485171550897037,
+      "loss": 0.9245,
+      "step": 954
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 0.00012470774143016853,
+      "loss": 0.9168,
+      "step": 955
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 0.0001245637127852877,
+      "loss": 0.803,
+      "step": 956
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 0.00012441962989240952,
+      "loss": 0.722,
+      "step": 957
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 0.0001242754930697354,
+      "loss": 0.7944,
+      "step": 958
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 0.00012413130263558587,
+      "loss": 0.7759,
+      "step": 959
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 0.00012398705890839988,
+      "loss": 0.9407,
+      "step": 960
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 0.00012384276220673402,
+      "loss": 0.726,
+      "step": 961
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 0.00012369841284926188,
+      "loss": 0.7817,
+      "step": 962
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 0.00012355401115477345,
+      "loss": 0.6845,
+      "step": 963
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 0.00012340955744217412,
+      "loss": 0.7638,
+      "step": 964
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 0.0001232650520304843,
+      "loss": 0.8104,
+      "step": 965
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 0.00012312049523883852,
+      "loss": 0.8676,
+      "step": 966
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 0.0001229758873864848,
+      "loss": 0.7944,
+      "step": 967
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 0.00012283122879278393,
+      "loss": 0.8001,
+      "step": 968
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 0.00012268651977720866,
+      "loss": 0.7943,
+      "step": 969
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 0.0001225417606593433,
+      "loss": 0.9679,
+      "step": 970
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 0.00012239695175888263,
+      "loss": 0.773,
+      "step": 971
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 0.00012225209339563145,
+      "loss": 0.7707,
+      "step": 972
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 0.00012210718588950376,
+      "loss": 0.6727,
+      "step": 973
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 0.00012196222956052214,
+      "loss": 0.7641,
+      "step": 974
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 0.00012181722472881697,
+      "loss": 0.8506,
+      "step": 975
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 0.00012167217171462566,
+      "loss": 0.8442,
+      "step": 976
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 0.00012152707083829217,
+      "loss": 0.7853,
+      "step": 977
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 0.00012138192242026614,
+      "loss": 0.7495,
+      "step": 978
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 0.0001212367267811021,
+      "loss": 0.739,
+      "step": 979
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 0.00012109148424145898,
+      "loss": 0.6531,
+      "step": 980
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 0.00012094619512209915,
+      "loss": 0.7721,
+      "step": 981
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 0.00012080085974388802,
+      "loss": 0.7346,
+      "step": 982
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 0.0001206554784277931,
+      "loss": 0.8709,
+      "step": 983
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 0.00012051005149488326,
+      "loss": 0.8111,
+      "step": 984
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 0.0001203645792663282,
+      "loss": 0.8296,
+      "step": 985
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 0.00012021906206339766,
+      "loss": 0.7569,
+      "step": 986
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 0.00012007350020746068,
+      "loss": 0.7945,
+      "step": 987
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 0.00011992789401998492,
+      "loss": 0.7818,
+      "step": 988
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 0.00011978224382253589,
+      "loss": 0.59,
+      "step": 989
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 0.00011963654993677645,
+      "loss": 0.828,
+      "step": 990
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 0.00011949081268446571,
+      "loss": 0.7583,
+      "step": 991
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 0.00011934503238745878,
+      "loss": 0.7453,
+      "step": 992
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 0.00011919920936770568,
+      "loss": 0.826,
+      "step": 993
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 0.00011905334394725085,
+      "loss": 0.7673,
+      "step": 994
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 0.00011890743644823242,
+      "loss": 0.9637,
+      "step": 995
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 0.00011876148719288128,
+      "loss": 0.702,
+      "step": 996
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 0.00011861549650352069,
+      "loss": 0.856,
+      "step": 997
+    },
+    {
+      "epoch": 2.29,
+      "learning_rate": 0.00011846946470256538,
+      "loss": 0.725,
+      "step": 998
+    },
+    {
+      "epoch": 2.29,
+      "learning_rate": 0.00011832339211252084,
+      "loss": 0.7615,
+      "step": 999
+    },
+    {
+      "epoch": 2.29,
+      "learning_rate": 0.00011817727905598268,
+      "loss": 0.7691,
+      "step": 1000
+    },
+    {
+      "epoch": 2.29,
+      "learning_rate": 0.00011803112585563587,
+      "loss": 0.8347,
+      "step": 1001
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 0.00011788493283425397,
+      "loss": 0.908,
+      "step": 1002
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 0.00011773870031469862,
+      "loss": 0.8724,
+      "step": 1003
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 0.00011759242861991855,
+      "loss": 0.8801,
+      "step": 1004
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 0.0001174461180729491,
+      "loss": 0.861,
+      "step": 1005
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 0.00011729976899691137,
+      "loss": 0.8878,
+      "step": 1006
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 0.00011715338171501156,
+      "loss": 0.7662,
+      "step": 1007
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 0.00011700695655054026,
+      "loss": 0.7814,
+      "step": 1008
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 0.00011686049382687168,
+      "loss": 0.8727,
+      "step": 1009
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 0.000116713993867463,
+      "loss": 0.8036,
+      "step": 1010
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 0.00011656745699585371,
+      "loss": 0.957,
+      "step": 1011
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 0.00011642088353566469,
+      "loss": 0.9257,
+      "step": 1012
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 0.00011627427381059772,
+      "loss": 0.7994,
+      "step": 1013
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 0.00011612762814443459,
+      "loss": 0.6582,
+      "step": 1014
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 0.00011598094686103653,
+      "loss": 0.7195,
+      "step": 1015
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 0.00011583423028434344,
+      "loss": 0.6673,
+      "step": 1016
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 0.00011568747873837307,
+      "loss": 0.8075,
+      "step": 1017
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 0.00011554069254722051,
+      "loss": 0.8945,
+      "step": 1018
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 0.00011539387203505727,
+      "loss": 0.6828,
+      "step": 1019
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 0.00011524701752613074,
+      "loss": 0.7014,
+      "step": 1020
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 0.00011510012934476338,
+      "loss": 0.8388,
+      "step": 1021
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 0.00011495320781535186,
+      "loss": 0.685,
+      "step": 1022
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 0.00011480625326236677,
+      "loss": 0.7141,
+      "step": 1023
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 0.00011465926601035137,
+      "loss": 0.8078,
+      "step": 1024
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 0.00011451224638392129,
+      "loss": 0.7924,
+      "step": 1025
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 0.00011436519470776362,
+      "loss": 0.9223,
+      "step": 1026
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 0.00011421811130663623,
+      "loss": 0.8251,
+      "step": 1027
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 0.00011407099650536706,
+      "loss": 0.9127,
+      "step": 1028
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 0.00011392385062885334,
+      "loss": 0.7634,
+      "step": 1029
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 0.00011377667400206101,
+      "loss": 0.7472,
+      "step": 1030
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 0.00011362946695002383,
+      "loss": 0.7838,
+      "step": 1031
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 0.00011348222979784289,
+      "loss": 0.9502,
+      "step": 1032
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 0.00011333496287068563,
+      "loss": 0.7066,
+      "step": 1033
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 0.00011318766649378532,
+      "loss": 0.9988,
+      "step": 1034
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 0.00011304034099244014,
+      "loss": 0.9448,
+      "step": 1035
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 0.00011289298669201282,
+      "loss": 0.7764,
+      "step": 1036
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 0.00011274560391792948,
+      "loss": 0.7351,
+      "step": 1037
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 0.00011259819299567922,
+      "loss": 0.895,
+      "step": 1038
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 0.00011245075425081328,
+      "loss": 0.718,
+      "step": 1039
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 0.00011230328800894437,
+      "loss": 0.7811,
+      "step": 1040
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 0.0001121557945957459,
+      "loss": 0.7859,
+      "step": 1041
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 0.00011200827433695127,
+      "loss": 0.7916,
+      "step": 1042
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 0.00011186072755835322,
+      "loss": 0.8321,
+      "step": 1043
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 0.00011171315458580303,
+      "loss": 0.7648,
+      "step": 1044
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 0.00011156555574520981,
+      "loss": 0.7691,
+      "step": 1045
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 0.00011141793136253986,
+      "loss": 0.6978,
+      "step": 1046
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 0.00011127028176381578,
+      "loss": 0.6725,
+      "step": 1047
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 0.00011112260727511596,
+      "loss": 0.8165,
+      "step": 1048
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 0.00011097490822257377,
+      "loss": 0.8662,
+      "step": 1049
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 0.00011082718493237669,
+      "loss": 0.8784,
+      "step": 1050
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 0.00011067943773076586,
+      "loss": 0.8533,
+      "step": 1051
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 0.00011053166694403521,
+      "loss": 0.6602,
+      "step": 1052
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 0.0001103838728985307,
+      "loss": 0.8363,
+      "step": 1053
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 0.0001102360559206497,
+      "loss": 0.8044,
+      "step": 1054
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 0.00011008821633684019,
+      "loss": 0.8684,
+      "step": 1055
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 0.00010994035447360018,
+      "loss": 0.7158,
+      "step": 1056
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 0.0001097924706574767,
+      "loss": 0.7729,
+      "step": 1057
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 0.00010964456521506545,
+      "loss": 0.685,
+      "step": 1058
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 0.00010949663847300976,
+      "loss": 0.8647,
+      "step": 1059
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 0.000109348690758,
+      "loss": 0.836,
+      "step": 1060
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 0.00010920072239677301,
+      "loss": 0.8494,
+      "step": 1061
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 0.00010905273371611105,
+      "loss": 0.9494,
+      "step": 1062
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 0.00010890472504284133,
+      "loss": 0.7832,
+      "step": 1063
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 0.00010875669670383521,
+      "loss": 0.7709,
+      "step": 1064
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 0.00010860864902600747,
+      "loss": 0.8175,
+      "step": 1065
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 0.00010846058233631565,
+      "loss": 0.8179,
+      "step": 1066
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 0.00010831249696175918,
+      "loss": 0.7686,
+      "step": 1067
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 0.00010816439322937879,
+      "loss": 0.8491,
+      "step": 1068
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 0.00010801627146625588,
+      "loss": 0.7961,
+      "step": 1069
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 0.00010786813199951145,
+      "loss": 0.8408,
+      "step": 1070
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 0.00010771997515630574,
+      "loss": 0.8916,
+      "step": 1071
+    },
+    {
+      "epoch": 2.46,
+      "learning_rate": 0.00010757180126383735,
+      "loss": 0.8035,
+      "step": 1072
+    },
+    {
+      "epoch": 2.46,
+      "learning_rate": 0.0001074236106493425,
+      "loss": 0.9132,
+      "step": 1073
+    },
+    {
+      "epoch": 2.46,
+      "learning_rate": 0.0001072754036400944,
+      "loss": 0.8029,
+      "step": 1074
+    },
+    {
+      "epoch": 2.46,
+      "learning_rate": 0.00010712718056340236,
+      "loss": 0.6981,
+      "step": 1075
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 0.00010697894174661127,
+      "loss": 0.7829,
+      "step": 1076
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 0.00010683068751710075,
+      "loss": 0.7699,
+      "step": 1077
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 0.00010668241820228444,
+      "loss": 0.7342,
+      "step": 1078
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 0.00010653413412960935,
+      "loss": 0.7729,
+      "step": 1079
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 0.00010638583562655498,
+      "loss": 0.9097,
+      "step": 1080
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 0.00010623752302063283,
+      "loss": 0.8692,
+      "step": 1081
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 0.00010608919663938549,
+      "loss": 0.8861,
+      "step": 1082
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 0.00010594085681038588,
+      "loss": 0.7454,
+      "step": 1083
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 0.00010579250386123676,
+      "loss": 0.8291,
+      "step": 1084
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 0.0001056441381195698,
+      "loss": 0.7643,
+      "step": 1085
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 0.00010549575991304492,
+      "loss": 0.8242,
+      "step": 1086
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 0.0001053473695693496,
+      "loss": 0.9521,
+      "step": 1087
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 0.00010519896741619803,
+      "loss": 0.8142,
+      "step": 1088
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 0.00010505055378133067,
+      "loss": 0.7955,
+      "step": 1089
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 0.00010490212899251309,
+      "loss": 0.7363,
+      "step": 1090
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 0.00010475369337753569,
+      "loss": 0.8173,
+      "step": 1091
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 0.00010460524726421275,
+      "loss": 0.7659,
+      "step": 1092
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 0.00010445679098038157,
+      "loss": 0.8618,
+      "step": 1093
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 0.00010430832485390217,
+      "loss": 0.7606,
+      "step": 1094
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 0.00010415984921265609,
+      "loss": 0.8721,
+      "step": 1095
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 0.00010401136438454599,
+      "loss": 0.8152,
+      "step": 1096
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 0.0001038628706974948,
+      "loss": 0.8934,
+      "step": 1097
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 0.00010371436847944503,
+      "loss": 0.8385,
+      "step": 1098
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 0.00010356585805835797,
+      "loss": 0.8581,
+      "step": 1099
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 0.00010341733976221313,
+      "loss": 0.788,
+      "step": 1100
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 0.00010326881391900724,
+      "loss": 0.7872,
+      "step": 1101
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 0.00010312028085675391,
+      "loss": 0.819,
+      "step": 1102
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 0.00010297174090348255,
+      "loss": 0.854,
+      "step": 1103
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 0.00010282319438723782,
+      "loss": 0.7121,
+      "step": 1104
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 0.00010267464163607889,
+      "loss": 0.8977,
+      "step": 1105
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 0.00010252608297807871,
+      "loss": 0.8411,
+      "step": 1106
+    },
+    {
+      "epoch": 2.54,
+      "learning_rate": 0.00010237751874132322,
+      "loss": 0.834,
+      "step": 1107
+    },
+    {
+      "epoch": 2.54,
+      "learning_rate": 0.00010222894925391073,
+      "loss": 0.7582,
+      "step": 1108
+    },
+    {
+      "epoch": 2.54,
+      "learning_rate": 0.00010208037484395114,
+      "loss": 0.7773,
+      "step": 1109
+    },
+    {
+      "epoch": 2.54,
+      "learning_rate": 0.00010193179583956523,
+      "loss": 0.7294,
+      "step": 1110
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 0.00010178321256888385,
+      "loss": 0.89,
+      "step": 1111
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 0.00010163462536004742,
+      "loss": 0.7675,
+      "step": 1112
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 0.00010148603454120487,
+      "loss": 0.7291,
+      "step": 1113
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 0.00010133744044051328,
+      "loss": 0.8403,
+      "step": 1114
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 0.00010118884338613688,
+      "loss": 0.8955,
+      "step": 1115
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 0.00010104024370624644,
+      "loss": 0.7537,
+      "step": 1116
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 0.00010089164172901851,
+      "loss": 0.8734,
+      "step": 1117
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 0.00010074303778263474,
+      "loss": 0.7312,
+      "step": 1118
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 0.00010059443219528117,
+      "loss": 0.7906,
+      "step": 1119
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 0.00010044582529514739,
+      "loss": 0.7756,
+      "step": 1120
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 0.00010029721741042586,
+      "loss": 0.9158,
+      "step": 1121
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 0.00010014860886931139,
+      "loss": 0.8481,
+      "step": 1122
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 0.0001,
+      "loss": 0.8187,
+      "step": 1123
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 9.985139113068865e-05,
+      "loss": 0.8507,
+      "step": 1124
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 9.970278258957415e-05,
+      "loss": 0.7585,
+      "step": 1125
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 9.955417470485265e-05,
+      "loss": 0.7163,
+      "step": 1126
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 9.940556780471885e-05,
+      "loss": 0.8124,
+      "step": 1127
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 9.925696221736525e-05,
+      "loss": 0.924,
+      "step": 1128
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 9.91083582709815e-05,
+      "loss": 0.843,
+      "step": 1129
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 9.895975629375359e-05,
+      "loss": 0.8461,
+      "step": 1130
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 9.881115661386314e-05,
+      "loss": 0.757,
+      "step": 1131
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 9.866255955948676e-05,
+      "loss": 0.7779,
+      "step": 1132
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.851396545879516e-05,
+      "loss": 0.8325,
+      "step": 1133
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.836537463995262e-05,
+      "loss": 0.7117,
+      "step": 1134
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.821678743111618e-05,
+      "loss": 0.7209,
+      "step": 1135
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.806820416043478e-05,
+      "loss": 0.6621,
+      "step": 1136
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.791962515604887e-05,
+      "loss": 0.7836,
+      "step": 1137
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 9.777105074608928e-05,
+      "loss": 0.8576,
+      "step": 1138
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 9.762248125867678e-05,
+      "loss": 0.6352,
+      "step": 1139
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 9.747391702192132e-05,
+      "loss": 0.7828,
+      "step": 1140
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 9.732535836392113e-05,
+      "loss": 0.6583,
+      "step": 1141
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 9.717680561276219e-05,
+      "loss": 0.9171,
+      "step": 1142
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 9.702825909651748e-05,
+      "loss": 0.8694,
+      "step": 1143
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 9.687971914324607e-05,
+      "loss": 0.9293,
+      "step": 1144
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 9.673118608099276e-05,
+      "loss": 0.7273,
+      "step": 1145
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.658266023778689e-05,
+      "loss": 0.8386,
+      "step": 1146
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.643414194164204e-05,
+      "loss": 0.727,
+      "step": 1147
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.628563152055498e-05,
+      "loss": 0.9991,
+      "step": 1148
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.61371293025052e-05,
+      "loss": 0.7304,
+      "step": 1149
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.598863561545404e-05,
+      "loss": 0.8146,
+      "step": 1150
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 9.584015078734395e-05,
+      "loss": 0.8178,
+      "step": 1151
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 9.569167514609786e-05,
+      "loss": 0.7202,
+      "step": 1152
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 9.554320901961843e-05,
+      "loss": 0.728,
+      "step": 1153
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 9.539475273578729e-05,
+      "loss": 0.7842,
+      "step": 1154
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 9.524630662246432e-05,
+      "loss": 0.7706,
+      "step": 1155
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 9.509787100748692e-05,
+      "loss": 0.802,
+      "step": 1156
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 9.494944621866937e-05,
+      "loss": 0.9293,
+      "step": 1157
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 9.480103258380198e-05,
+      "loss": 0.8051,
+      "step": 1158
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 9.465263043065045e-05,
+      "loss": 0.7449,
+      "step": 1159
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 9.450424008695509e-05,
+      "loss": 0.7289,
+      "step": 1160
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 9.43558618804302e-05,
+      "loss": 0.6778,
+      "step": 1161
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 9.420749613876325e-05,
+      "loss": 0.7731,
+      "step": 1162
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 9.405914318961414e-05,
+      "loss": 0.6934,
+      "step": 1163
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 9.391080336061454e-05,
+      "loss": 0.9045,
+      "step": 1164
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 9.376247697936719e-05,
+      "loss": 0.8016,
+      "step": 1165
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 9.361416437344503e-05,
+      "loss": 0.6214,
+      "step": 1166
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 9.34658658703907e-05,
+      "loss": 0.6771,
+      "step": 1167
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.331758179771561e-05,
+      "loss": 0.748,
+      "step": 1168
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.316931248289926e-05,
+      "loss": 0.665,
+      "step": 1169
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.302105825338876e-05,
+      "loss": 0.901,
+      "step": 1170
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.287281943659767e-05,
+      "loss": 0.8342,
+      "step": 1171
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.272459635990562e-05,
+      "loss": 0.853,
+      "step": 1172
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 9.257638935065753e-05,
+      "loss": 0.8093,
+      "step": 1173
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 9.242819873616268e-05,
+      "loss": 0.8451,
+      "step": 1174
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 9.228002484369429e-05,
+      "loss": 0.8628,
+      "step": 1175
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 9.213186800048861e-05,
+      "loss": 0.7858,
+      "step": 1176
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 9.198372853374415e-05,
+      "loss": 0.9236,
+      "step": 1177
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 9.183560677062119e-05,
+      "loss": 0.7925,
+      "step": 1178
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 9.168750303824084e-05,
+      "loss": 0.7105,
+      "step": 1179
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 9.153941766368439e-05,
+      "loss": 0.7521,
+      "step": 1180
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 9.139135097399254e-05,
+      "loss": 0.8648,
+      "step": 1181
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 9.124330329616482e-05,
+      "loss": 0.8409,
+      "step": 1182
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 9.109527495715872e-05,
+      "loss": 0.7198,
+      "step": 1183
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 9.094726628388899e-05,
+      "loss": 0.7365,
+      "step": 1184
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 9.0799277603227e-05,
+      "loss": 0.7699,
+      "step": 1185
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.065130924199998e-05,
+      "loss": 0.8041,
+      "step": 1186
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.050336152699025e-05,
+      "loss": 0.8308,
+      "step": 1187
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.035543478493458e-05,
+      "loss": 0.8139,
+      "step": 1188
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.02075293425233e-05,
+      "loss": 0.7394,
+      "step": 1189
+    },
+    {
+      "epoch": 2.73,
+      "learning_rate": 9.005964552639984e-05,
+      "loss": 0.6738,
+      "step": 1190
+    },
+    {
+      "epoch": 2.73,
+      "learning_rate": 8.991178366315982e-05,
+      "loss": 0.9421,
+      "step": 1191
+    },
+    {
+      "epoch": 2.73,
+      "learning_rate": 8.976394407935034e-05,
+      "loss": 0.8747,
+      "step": 1192
+    },
+    {
+      "epoch": 2.73,
+      "learning_rate": 8.961612710146934e-05,
+      "loss": 0.8282,
+      "step": 1193
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 8.94683330559648e-05,
+      "loss": 0.765,
+      "step": 1194
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 8.932056226923416e-05,
+      "loss": 0.8515,
+      "step": 1195
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 8.917281506762335e-05,
+      "loss": 0.6194,
+      "step": 1196
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 8.902509177742626e-05,
+      "loss": 0.8852,
+      "step": 1197
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 8.887739272488406e-05,
+      "loss": 0.7481,
+      "step": 1198
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 8.872971823618424e-05,
+      "loss": 0.7979,
+      "step": 1199
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 8.858206863746018e-05,
+      "loss": 0.8332,
+      "step": 1200
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 8.843444425479022e-05,
+      "loss": 0.6716,
+      "step": 1201
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 8.828684541419696e-05,
+      "loss": 0.9192,
+      "step": 1202
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 8.813927244164679e-05,
+      "loss": 0.8463,
+      "step": 1203
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 8.799172566304874e-05,
+      "loss": 0.6598,
+      "step": 1204
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 8.784420540425412e-05,
+      "loss": 0.7823,
+      "step": 1205
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 8.769671199105565e-05,
+      "loss": 0.8728,
+      "step": 1206
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 8.754924574918675e-05,
+      "loss": 0.7665,
+      "step": 1207
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 8.74018070043208e-05,
+      "loss": 0.8008,
+      "step": 1208
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 8.725439608207056e-05,
+      "loss": 0.6833,
+      "step": 1209
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 8.710701330798719e-05,
+      "loss": 0.7801,
+      "step": 1210
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 8.695965900755985e-05,
+      "loss": 0.6308,
+      "step": 1211
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 8.68123335062147e-05,
+      "loss": 0.7851,
+      "step": 1212
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 8.666503712931439e-05,
+      "loss": 0.7592,
+      "step": 1213
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 8.651777020215712e-05,
+      "loss": 0.8727,
+      "step": 1214
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 8.637053304997618e-05,
+      "loss": 0.903,
+      "step": 1215
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.622332599793906e-05,
+      "loss": 0.8076,
+      "step": 1216
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.607614937114671e-05,
+      "loss": 0.8975,
+      "step": 1217
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.592900349463297e-05,
+      "loss": 0.8249,
+      "step": 1218
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.578188869336377e-05,
+      "loss": 0.8529,
+      "step": 1219
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.563480529223638e-05,
+      "loss": 0.8351,
+      "step": 1220
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 8.548775361607872e-05,
+      "loss": 0.8934,
+      "step": 1221
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 8.534073398964866e-05,
+      "loss": 0.8067,
+      "step": 1222
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 8.519374673763326e-05,
+      "loss": 0.8508,
+      "step": 1223
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 8.504679218464816e-05,
+      "loss": 0.7419,
+      "step": 1224
+    },
+    {
+      "epoch": 2.81,
+      "learning_rate": 8.489987065523668e-05,
+      "loss": 0.7808,
+      "step": 1225
+    },
+    {
+      "epoch": 2.81,
+      "learning_rate": 8.475298247386927e-05,
+      "loss": 0.8603,
+      "step": 1226
+    },
+    {
+      "epoch": 2.81,
+      "learning_rate": 8.460612796494272e-05,
+      "loss": 0.8818,
+      "step": 1227
+    },
+    {
+      "epoch": 2.81,
+      "learning_rate": 8.445930745277953e-05,
+      "loss": 0.779,
+      "step": 1228
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 8.431252126162695e-05,
+      "loss": 0.766,
+      "step": 1229
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 8.41657697156566e-05,
+      "loss": 0.8743,
+      "step": 1230
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 8.40190531389635e-05,
+      "loss": 0.882,
+      "step": 1231
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 8.387237185556545e-05,
+      "loss": 0.7422,
+      "step": 1232
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 8.372572618940231e-05,
+      "loss": 0.9271,
+      "step": 1233
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 8.357911646433535e-05,
+      "loss": 0.8051,
+      "step": 1234
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 8.343254300414628e-05,
+      "loss": 0.782,
+      "step": 1235
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 8.3286006132537e-05,
+      "loss": 0.8754,
+      "step": 1236
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 8.313950617312835e-05,
+      "loss": 0.8249,
+      "step": 1237
+    },
+    {
+      "epoch": 2.84,
+      "learning_rate": 8.299304344945977e-05,
+      "loss": 0.8342,
+      "step": 1238
+    },
+    {
+      "epoch": 2.84,
+      "learning_rate": 8.284661828498847e-05,
+      "loss": 0.8593,
+      "step": 1239
+    },
+    {
+      "epoch": 2.84,
+      "learning_rate": 8.270023100308865e-05,
+      "loss": 0.7507,
+      "step": 1240
+    },
+    {
+      "epoch": 2.84,
+      "learning_rate": 8.255388192705093e-05,
+      "loss": 0.8462,
+      "step": 1241
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 8.240757138008149e-05,
+      "loss": 0.8322,
+      "step": 1242
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 8.22612996853014e-05,
+      "loss": 0.8963,
+      "step": 1243
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 8.211506716574602e-05,
+      "loss": 0.7419,
+      "step": 1244
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 8.196887414436416e-05,
+      "loss": 0.8225,
+      "step": 1245
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 8.182272094401735e-05,
+      "loss": 0.8539,
+      "step": 1246
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 8.167660788747919e-05,
+      "loss": 0.7852,
+      "step": 1247
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 8.153053529743465e-05,
+      "loss": 0.9128,
+      "step": 1248
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 8.138450349647936e-05,
+      "loss": 0.7328,
+      "step": 1249
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 8.123851280711877e-05,
+      "loss": 0.8816,
+      "step": 1250
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 8.10925635517676e-05,
+      "loss": 0.7267,
+      "step": 1251
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 8.094665605274913e-05,
+      "loss": 0.7362,
+      "step": 1252
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 8.080079063229432e-05,
+      "loss": 0.7475,
+      "step": 1253
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 8.065496761254126e-05,
+      "loss": 0.7727,
+      "step": 1254
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 8.050918731553431e-05,
+      "loss": 0.746,
+      "step": 1255
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 8.036345006322359e-05,
+      "loss": 0.8132,
+      "step": 1256
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 8.021775617746412e-05,
+      "loss": 0.6752,
+      "step": 1257
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 8.007210598001512e-05,
+      "loss": 0.7468,
+      "step": 1258
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 7.992649979253934e-05,
+      "loss": 0.9141,
+      "step": 1259
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 7.978093793660233e-05,
+      "loss": 0.7706,
+      "step": 1260
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 7.963542073367181e-05,
+      "loss": 0.8399,
+      "step": 1261
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 7.948994850511677e-05,
+      "loss": 0.834,
+      "step": 1262
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 7.934452157220694e-05,
+      "loss": 0.767,
+      "step": 1263
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.9199140256112e-05,
+      "loss": 0.75,
+      "step": 1264
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.905380487790088e-05,
+      "loss": 0.81,
+      "step": 1265
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.890851575854108e-05,
+      "loss": 0.8931,
+      "step": 1266
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.876327321889795e-05,
+      "loss": 0.8929,
+      "step": 1267
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.861807757973387e-05,
+      "loss": 0.787,
+      "step": 1268
+    },
+    {
+      "epoch": 2.91,
+      "learning_rate": 7.847292916170784e-05,
+      "loss": 0.8072,
+      "step": 1269
+    },
+    {
+      "epoch": 2.91,
+      "learning_rate": 7.832782828537437e-05,
+      "loss": 0.8121,
+      "step": 1270
+    },
+    {
+      "epoch": 2.91,
+      "learning_rate": 7.818277527118307e-05,
+      "loss": 0.7951,
+      "step": 1271
+    },
+    {
+      "epoch": 2.91,
+      "learning_rate": 7.803777043947789e-05,
+      "loss": 0.7093,
+      "step": 1272
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 7.789281411049625e-05,
+      "loss": 0.7827,
+      "step": 1273
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 7.774790660436858e-05,
+      "loss": 0.7433,
+      "step": 1274
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 7.760304824111741e-05,
+      "loss": 0.7359,
+      "step": 1275
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 7.745823934065671e-05,
+      "loss": 0.7157,
+      "step": 1276
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 7.731348022279134e-05,
+      "loss": 0.961,
+      "step": 1277
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 7.716877120721611e-05,
+      "loss": 0.7718,
+      "step": 1278
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 7.702411261351523e-05,
+      "loss": 0.835,
+      "step": 1279
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 7.68795047611615e-05,
+      "loss": 0.9129,
+      "step": 1280
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 7.673494796951573e-05,
+      "loss": 0.7635,
+      "step": 1281
+    },
+    {
+      "epoch": 2.94,
+      "learning_rate": 7.659044255782593e-05,
+      "loss": 0.6873,
+      "step": 1282
+    },
+    {
+      "epoch": 2.94,
+      "learning_rate": 7.644598884522659e-05,
+      "loss": 0.6434,
+      "step": 1283
+    },
+    {
+      "epoch": 2.94,
+      "learning_rate": 7.630158715073813e-05,
+      "loss": 0.8408,
+      "step": 1284
+    },
+    {
+      "epoch": 2.94,
+      "learning_rate": 7.615723779326599e-05,
+      "loss": 0.9042,
+      "step": 1285
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 7.601294109160012e-05,
+      "loss": 0.7996,
+      "step": 1286
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 7.586869736441413e-05,
+      "loss": 0.923,
+      "step": 1287
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 7.572450693026462e-05,
+      "loss": 0.7661,
+      "step": 1288
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 7.55803701075905e-05,
+      "loss": 0.9105,
+      "step": 1289
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 7.543628721471233e-05,
+      "loss": 0.8071,
+      "step": 1290
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 7.52922585698315e-05,
+      "loss": 0.8234,
+      "step": 1291
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 7.514828449102966e-05,
+      "loss": 0.8131,
+      "step": 1292
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 7.500436529626786e-05,
+      "loss": 0.8149,
+      "step": 1293
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 7.486050130338612e-05,
+      "loss": 0.8441,
+      "step": 1294
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 7.471669283010232e-05,
+      "loss": 0.8269,
+      "step": 1295
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 7.457294019401191e-05,
+      "loss": 0.632,
+      "step": 1296
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 7.442924371258694e-05,
+      "loss": 0.8522,
+      "step": 1297
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 7.428560370317542e-05,
+      "loss": 0.8387,
+      "step": 1298
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 7.414202048300072e-05,
+      "loss": 0.887,
+      "step": 1299
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 7.399849436916077e-05,
+      "loss": 0.8273,
+      "step": 1300
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 7.385502567862728e-05,
+      "loss": 0.7807,
+      "step": 1301
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 7.371161472824536e-05,
+      "loss": 0.9077,
+      "step": 1302
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 7.35682618347324e-05,
+      "loss": 0.8779,
+      "step": 1303
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 7.342496731467767e-05,
+      "loss": 0.8595,
+      "step": 1304
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 7.328173148454151e-05,
+      "loss": 0.8391,
+      "step": 1305
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 7.31385546606546e-05,
+      "loss": 0.7559,
+      "step": 1306
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 7.29954371592174e-05,
+      "loss": 0.8926,
+      "step": 1307
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 7.285237929629928e-05,
+      "loss": 0.8443,
+      "step": 1308
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 7.27093813878379e-05,
+      "loss": 0.7854,
+      "step": 1309
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 7.256644374963857e-05,
+      "loss": 0.9361,
+      "step": 1310
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 7.242356669737344e-05,
+      "loss": 0.7515,
+      "step": 1311
+    },
+    {
+      "epoch": 3.01,
+      "learning_rate": 7.228075054658096e-05,
+      "loss": 0.5228,
+      "step": 1312
+    },
+    {
+      "epoch": 3.01,
+      "learning_rate": 7.213799561266489e-05,
+      "loss": 0.8614,
+      "step": 1313
+    },
+    {
+      "epoch": 3.01,
+      "learning_rate": 7.199530221089398e-05,
+      "loss": 0.6461,
+      "step": 1314
+    },
+    {
+      "epoch": 3.01,
+      "learning_rate": 7.185267065640104e-05,
+      "loss": 0.6926,
+      "step": 1315
+    },
+    {
+      "epoch": 3.01,
+      "learning_rate": 7.171010126418218e-05,
+      "loss": 0.8601,
+      "step": 1316
+    },
+    {
+      "epoch": 3.02,
+      "learning_rate": 7.156759434909639e-05,
+      "loss": 0.784,
+      "step": 1317
+    },
+    {
+      "epoch": 3.02,
+      "learning_rate": 7.142515022586456e-05,
+      "loss": 1.0793,
+      "step": 1318
+    },
+    {
+      "epoch": 3.02,
+      "learning_rate": 7.1282769209069e-05,
+      "loss": 0.71,
+      "step": 1319
+    },
+    {
+      "epoch": 3.02,
+      "learning_rate": 7.114045161315261e-05,
+      "loss": 0.7129,
+      "step": 1320
+    },
+    {
+      "epoch": 3.03,
+      "learning_rate": 7.099819775241819e-05,
+      "loss": 0.6223,
+      "step": 1321
+    },
+    {
+      "epoch": 3.03,
+      "learning_rate": 7.085600794102783e-05,
+      "loss": 0.643,
+      "step": 1322
+    },
+    {
+      "epoch": 3.03,
+      "learning_rate": 7.071388249300218e-05,
+      "loss": 0.7678,
+      "step": 1323
+    },
+    {
+      "epoch": 3.03,
+      "learning_rate": 7.057182172221967e-05,
+      "loss": 0.6995,
+      "step": 1324
+    },
+    {
+      "epoch": 3.04,
+      "learning_rate": 7.042982594241601e-05,
+      "loss": 0.6812,
+      "step": 1325
+    },
+    {
+      "epoch": 3.04,
+      "learning_rate": 7.028789546718326e-05,
+      "loss": 0.7234,
+      "step": 1326
+    },
+    {
+      "epoch": 3.04,
+      "learning_rate": 7.014603060996938e-05,
+      "loss": 0.8338,
+      "step": 1327
+    },
+    {
+      "epoch": 3.04,
+      "learning_rate": 7.00042316840773e-05,
+      "loss": 0.9738,
+      "step": 1328
+    },
+    {
+      "epoch": 3.04,
+      "learning_rate": 6.98624990026644e-05,
+      "loss": 0.6211,
+      "step": 1329
+    },
+    {
+      "epoch": 3.05,
+      "learning_rate": 6.972083287874177e-05,
+      "loss": 0.7343,
+      "step": 1330
+    },
+    {
+      "epoch": 3.05,
+      "learning_rate": 6.957923362517348e-05,
+      "loss": 0.7291,
+      "step": 1331
+    },
+    {
+      "epoch": 3.05,
+      "learning_rate": 6.943770155467593e-05,
+      "loss": 0.7687,
+      "step": 1332
+    },
+    {
+      "epoch": 3.05,
+      "learning_rate": 6.929623697981718e-05,
+      "loss": 0.7509,
+      "step": 1333
+    },
+    {
+      "epoch": 3.06,
+      "learning_rate": 6.915484021301613e-05,
+      "loss": 0.769,
+      "step": 1334
+    },
+    {
+      "epoch": 3.06,
+      "learning_rate": 6.90135115665421e-05,
+      "loss": 0.7605,
+      "step": 1335
+    },
+    {
+      "epoch": 3.06,
+      "learning_rate": 6.887225135251381e-05,
+      "loss": 0.7519,
+      "step": 1336
+    },
+    {
+      "epoch": 3.06,
+      "learning_rate": 6.873105988289892e-05,
+      "loss": 0.7648,
+      "step": 1337
+    },
+    {
+      "epoch": 3.07,
+      "learning_rate": 6.858993746951328e-05,
+      "loss": 0.8969,
+      "step": 1338
+    },
+    {
+      "epoch": 3.07,
+      "learning_rate": 6.844888442402018e-05,
+      "loss": 0.7229,
+      "step": 1339
+    },
+    {
+      "epoch": 3.07,
+      "learning_rate": 6.830790105792973e-05,
+      "loss": 0.6294,
+      "step": 1340
+    },
+    {
+      "epoch": 3.07,
+      "learning_rate": 6.816698768259824e-05,
+      "loss": 0.7872,
+      "step": 1341
+    },
+    {
+      "epoch": 3.07,
+      "learning_rate": 6.802614460922728e-05,
+      "loss": 0.7555,
+      "step": 1342
+    },
+    {
+      "epoch": 3.08,
+      "learning_rate": 6.788537214886335e-05,
+      "loss": 0.7431,
+      "step": 1343
+    },
+    {
+      "epoch": 3.08,
+      "learning_rate": 6.774467061239687e-05,
+      "loss": 0.7502,
+      "step": 1344
+    },
+    {
+      "epoch": 3.08,
+      "learning_rate": 6.760404031056169e-05,
+      "loss": 0.9202,
+      "step": 1345
+    },
+    {
+      "epoch": 3.08,
+      "learning_rate": 6.74634815539343e-05,
+      "loss": 0.8221,
+      "step": 1346
+    },
+    {
+      "epoch": 3.09,
+      "learning_rate": 6.732299465293322e-05,
+      "loss": 0.8935,
+      "step": 1347
+    },
+    {
+      "epoch": 3.09,
+      "learning_rate": 6.718257991781828e-05,
+      "loss": 0.6869,
+      "step": 1348
+    },
+    {
+      "epoch": 3.09,
+      "learning_rate": 6.704223765868991e-05,
+      "loss": 0.6931,
+      "step": 1349
+    },
+    {
+      "epoch": 3.09,
+      "learning_rate": 6.690196818548846e-05,
+      "loss": 0.7308,
+      "step": 1350
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 6.67617718079936e-05,
+      "loss": 0.779,
+      "step": 1351
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 6.662164883582354e-05,
+      "loss": 0.7807,
+      "step": 1352
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 6.648159957843438e-05,
+      "loss": 0.7942,
+      "step": 1353
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 6.63416243451194e-05,
+      "loss": 0.842,
+      "step": 1354
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 6.62017234450084e-05,
+      "loss": 0.9713,
+      "step": 1355
+    },
+    {
+      "epoch": 3.11,
+      "learning_rate": 6.60618971870671e-05,
+      "loss": 0.5946,
+      "step": 1356
+    },
+    {
+      "epoch": 3.11,
+      "learning_rate": 6.592214588009625e-05,
+      "loss": 0.656,
+      "step": 1357
+    },
+    {
+      "epoch": 3.11,
+      "learning_rate": 6.578246983273118e-05,
+      "loss": 0.7192,
+      "step": 1358
+    },
+    {
+      "epoch": 3.11,
+      "learning_rate": 6.564286935344089e-05,
+      "loss": 0.7485,
+      "step": 1359
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 6.550334475052767e-05,
+      "loss": 0.8379,
+      "step": 1360
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 6.536389633212609e-05,
+      "loss": 0.9204,
+      "step": 1361
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 6.522452440620254e-05,
+      "loss": 0.7924,
+      "step": 1362
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 6.508522928055445e-05,
+      "loss": 0.7988,
+      "step": 1363
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 6.494601126280963e-05,
+      "loss": 0.7678,
+      "step": 1364
+    },
+    {
+      "epoch": 3.13,
+      "learning_rate": 6.480687066042561e-05,
+      "loss": 0.7079,
+      "step": 1365
+    },
+    {
+      "epoch": 3.13,
+      "learning_rate": 6.466780778068903e-05,
+      "loss": 0.7104,
+      "step": 1366
+    },
+    {
+      "epoch": 3.13,
+      "learning_rate": 6.452882293071468e-05,
+      "loss": 0.7226,
+      "step": 1367
+    },
+    {
+      "epoch": 3.13,
+      "learning_rate": 6.43899164174453e-05,
+      "loss": 0.8358,
+      "step": 1368
+    },
+    {
+      "epoch": 3.14,
+      "learning_rate": 6.42510885476504e-05,
+      "loss": 0.6752,
+      "step": 1369
+    },
+    {
+      "epoch": 3.14,
+      "learning_rate": 6.411233962792593e-05,
+      "loss": 0.7962,
+      "step": 1370
+    },
+    {
+      "epoch": 3.14,
+      "learning_rate": 6.397366996469343e-05,
+      "loss": 0.8052,
+      "step": 1371
+    },
+    {
+      "epoch": 3.14,
+      "learning_rate": 6.383507986419939e-05,
+      "loss": 0.9013,
+      "step": 1372
+    },
+    {
+      "epoch": 3.15,
+      "learning_rate": 6.369656963251467e-05,
+      "loss": 0.798,
+      "step": 1373
+    },
+    {
+      "epoch": 3.15,
+      "learning_rate": 6.355813957553364e-05,
+      "loss": 0.7121,
+      "step": 1374
+    },
+    {
+      "epoch": 3.15,
+      "learning_rate": 6.341978999897365e-05,
+      "loss": 0.7275,
+      "step": 1375
+    },
+    {
+      "epoch": 3.15,
+      "learning_rate": 6.328152120837439e-05,
+      "loss": 0.7393,
+      "step": 1376
+    },
+    {
+      "epoch": 3.15,
+      "learning_rate": 6.314333350909701e-05,
+      "loss": 0.9145,
+      "step": 1377
+    },
+    {
+      "epoch": 3.16,
+      "learning_rate": 6.300522720632367e-05,
+      "loss": 0.8225,
+      "step": 1378
+    },
+    {
+      "epoch": 3.16,
+      "learning_rate": 6.286720260505668e-05,
+      "loss": 0.842,
+      "step": 1379
+    },
+    {
+      "epoch": 3.16,
+      "learning_rate": 6.2729260010118e-05,
+      "loss": 0.9227,
+      "step": 1380
+    },
+    {
+      "epoch": 3.16,
+      "learning_rate": 6.259139972614845e-05,
+      "loss": 0.8438,
+      "step": 1381
+    },
+    {
+      "epoch": 3.17,
+      "learning_rate": 6.245362205760704e-05,
+      "loss": 0.9213,
+      "step": 1382
+    },
+    {
+      "epoch": 3.17,
+      "learning_rate": 6.231592730877035e-05,
+      "loss": 0.7469,
+      "step": 1383
+    },
+    {
+      "epoch": 3.17,
+      "learning_rate": 6.217831578373185e-05,
+      "loss": 0.7289,
+      "step": 1384
+    },
+    {
+      "epoch": 3.17,
+      "learning_rate": 6.204078778640121e-05,
+      "loss": 0.8306,
+      "step": 1385
+    },
+    {
+      "epoch": 3.18,
+      "learning_rate": 6.190334362050365e-05,
+      "loss": 0.7807,
+      "step": 1386
+    },
+    {
+      "epoch": 3.18,
+      "learning_rate": 6.176598358957919e-05,
+      "loss": 0.7564,
+      "step": 1387
+    },
+    {
+      "epoch": 3.18,
+      "learning_rate": 6.162870799698209e-05,
+      "loss": 0.8306,
+      "step": 1388
+    },
+    {
+      "epoch": 3.18,
+      "learning_rate": 6.149151714588009e-05,
+      "loss": 0.7317,
+      "step": 1389
+    },
+    {
+      "epoch": 3.18,
+      "learning_rate": 6.135441133925382e-05,
+      "loss": 0.8923,
+      "step": 1390
+    },
+    {
+      "epoch": 3.19,
+      "learning_rate": 6.121739087989613e-05,
+      "loss": 0.7723,
+      "step": 1391
+    },
+    {
+      "epoch": 3.19,
+      "learning_rate": 6.108045607041125e-05,
+      "loss": 0.796,
+      "step": 1392
+    },
+    {
+      "epoch": 3.19,
+      "learning_rate": 6.0943607213214425e-05,
+      "loss": 0.7907,
+      "step": 1393
+    },
+    {
+      "epoch": 3.19,
+      "learning_rate": 6.0806844610530956e-05,
+      "loss": 0.7709,
+      "step": 1394
+    },
+    {
+      "epoch": 3.2,
+      "learning_rate": 6.0670168564395705e-05,
+      "loss": 0.8841,
+      "step": 1395
+    },
+    {
+      "epoch": 3.2,
+      "learning_rate": 6.053357937665237e-05,
+      "loss": 0.6325,
+      "step": 1396
+    },
+    {
+      "epoch": 3.2,
+      "learning_rate": 6.039707734895279e-05,
+      "loss": 0.8047,
+      "step": 1397
+    },
+    {
+      "epoch": 3.2,
+      "learning_rate": 6.0260662782756374e-05,
+      "loss": 0.7933,
+      "step": 1398
+    },
+    {
+      "epoch": 3.21,
+      "learning_rate": 6.012433597932936e-05,
+      "loss": 0.8016,
+      "step": 1399
+    },
+    {
+      "epoch": 3.21,
+      "learning_rate": 5.998809723974407e-05,
+      "loss": 0.8992,
+      "step": 1400
+    },
+    {
+      "epoch": 3.21,
+      "learning_rate": 5.985194686487854e-05,
+      "loss": 0.7384,
+      "step": 1401
+    },
+    {
+      "epoch": 3.21,
+      "learning_rate": 5.971588515541546e-05,
+      "loss": 0.7214,
+      "step": 1402
+    },
+    {
+      "epoch": 3.21,
+      "learning_rate": 5.957991241184184e-05,
+      "loss": 0.7394,
+      "step": 1403
+    },
+    {
+      "epoch": 3.22,
+      "learning_rate": 5.94440289344481e-05,
+      "loss": 0.6268,
+      "step": 1404
+    },
+    {
+      "epoch": 3.22,
+      "learning_rate": 5.9308235023327604e-05,
+      "loss": 0.8049,
+      "step": 1405
+    },
+    {
+      "epoch": 3.22,
+      "learning_rate": 5.9172530978375894e-05,
+      "loss": 0.8396,
+      "step": 1406
+    },
+    {
+      "epoch": 3.22,
+      "learning_rate": 5.9036917099290026e-05,
+      "loss": 0.7694,
+      "step": 1407
+    },
+    {
+      "epoch": 3.23,
+      "learning_rate": 5.890139368556791e-05,
+      "loss": 0.7289,
+      "step": 1408
+    },
+    {
+      "epoch": 3.23,
+      "learning_rate": 5.8765961036507736e-05,
+      "loss": 0.7949,
+      "step": 1409
+    },
+    {
+      "epoch": 3.23,
+      "learning_rate": 5.863061945120719e-05,
+      "loss": 0.9371,
+      "step": 1410
+    },
+    {
+      "epoch": 3.23,
+      "learning_rate": 5.8495369228562894e-05,
+      "loss": 0.7323,
+      "step": 1411
+    },
+    {
+      "epoch": 3.23,
+      "learning_rate": 5.836021066726962e-05,
+      "loss": 0.8331,
+      "step": 1412
+    },
+    {
+      "epoch": 3.24,
+      "learning_rate": 5.8225144065819745e-05,
+      "loss": 0.768,
+      "step": 1413
+    },
+    {
+      "epoch": 3.24,
+      "learning_rate": 5.809016972250263e-05,
+      "loss": 0.7804,
+      "step": 1414
+    },
+    {
+      "epoch": 3.24,
+      "learning_rate": 5.795528793540379e-05,
+      "loss": 0.771,
+      "step": 1415
+    },
+    {
+      "epoch": 3.24,
+      "learning_rate": 5.782049900240432e-05,
+      "loss": 0.7431,
+      "step": 1416
+    },
+    {
+      "epoch": 3.25,
+      "learning_rate": 5.768580322118034e-05,
+      "loss": 0.8618,
+      "step": 1417
+    },
+    {
+      "epoch": 3.25,
+      "learning_rate": 5.755120088920225e-05,
+      "loss": 0.7639,
+      "step": 1418
+    },
+    {
+      "epoch": 3.25,
+      "learning_rate": 5.7416692303733946e-05,
+      "loss": 0.8375,
+      "step": 1419
+    },
+    {
+      "epoch": 3.25,
+      "learning_rate": 5.728227776183244e-05,
+      "loss": 0.7409,
+      "step": 1420
+    },
+    {
+      "epoch": 3.26,
+      "learning_rate": 5.714795756034695e-05,
+      "loss": 0.7529,
+      "step": 1421
+    },
+    {
+      "epoch": 3.26,
+      "learning_rate": 5.701373199591835e-05,
+      "loss": 0.8878,
+      "step": 1422
+    },
+    {
+      "epoch": 3.26,
+      "learning_rate": 5.687960136497861e-05,
+      "loss": 0.6923,
+      "step": 1423
+    },
+    {
+      "epoch": 3.26,
+      "learning_rate": 5.6745565963749925e-05,
+      "loss": 0.8628,
+      "step": 1424
+    },
+    {
+      "epoch": 3.26,
+      "learning_rate": 5.6611626088244194e-05,
+      "loss": 0.6949,
+      "step": 1425
+    },
+    {
+      "epoch": 3.27,
+      "learning_rate": 5.6477782034262436e-05,
+      "loss": 0.7278,
+      "step": 1426
+    },
+    {
+      "epoch": 3.27,
+      "learning_rate": 5.634403409739402e-05,
+      "loss": 0.8781,
+      "step": 1427
+    },
+    {
+      "epoch": 3.27,
+      "learning_rate": 5.621038257301601e-05,
+      "loss": 0.7329,
+      "step": 1428
+    },
+    {
+      "epoch": 3.27,
+      "learning_rate": 5.6076827756292495e-05,
+      "loss": 0.7195,
+      "step": 1429
+    },
+    {
+      "epoch": 3.28,
+      "learning_rate": 5.594336994217415e-05,
+      "loss": 0.7283,
+      "step": 1430
+    },
+    {
+      "epoch": 3.28,
+      "learning_rate": 5.5810009425397294e-05,
+      "loss": 0.8064,
+      "step": 1431
+    },
+    {
+      "epoch": 3.28,
+      "learning_rate": 5.5676746500483336e-05,
+      "loss": 0.8488,
+      "step": 1432
+    },
+    {
+      "epoch": 3.28,
+      "learning_rate": 5.55435814617383e-05,
+      "loss": 0.8925,
+      "step": 1433
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 5.5410514603251985e-05,
+      "loss": 0.7677,
+      "step": 1434
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 5.5277546218897294e-05,
+      "loss": 0.8037,
+      "step": 1435
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 5.514467660232965e-05,
+      "loss": 0.8046,
+      "step": 1436
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 5.5011906046986473e-05,
+      "loss": 0.7885,
+      "step": 1437
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 5.487923484608629e-05,
+      "loss": 0.8264,
+      "step": 1438
+    },
+    {
+      "epoch": 3.3,
+      "learning_rate": 5.4746663292628234e-05,
+      "loss": 0.7551,
+      "step": 1439
+    },
+    {
+      "epoch": 3.3,
+      "learning_rate": 5.4614191679391444e-05,
+      "loss": 0.8766,
+      "step": 1440
+    },
+    {
+      "epoch": 3.3,
+      "learning_rate": 5.448182029893423e-05,
+      "loss": 0.8992,
+      "step": 1441
+    },
+    {
+      "epoch": 3.3,
+      "learning_rate": 5.434954944359365e-05,
+      "loss": 0.6505,
+      "step": 1442
+    },
+    {
+      "epoch": 3.31,
+      "learning_rate": 5.4217379405484636e-05,
+      "loss": 0.8743,
+      "step": 1443
+    },
+    {
+      "epoch": 3.31,
+      "learning_rate": 5.408531047649964e-05,
+      "loss": 0.6965,
+      "step": 1444
+    },
+    {
+      "epoch": 3.31,
+      "learning_rate": 5.395334294830765e-05,
+      "loss": 0.7663,
+      "step": 1445
+    },
+    {
+      "epoch": 3.31,
+      "learning_rate": 5.382147711235377e-05,
+      "loss": 0.86,
+      "step": 1446
+    },
+    {
+      "epoch": 3.32,
+      "learning_rate": 5.3689713259858586e-05,
+      "loss": 0.7524,
+      "step": 1447
+    },
+    {
+      "epoch": 3.32,
+      "learning_rate": 5.355805168181738e-05,
+      "loss": 0.9115,
+      "step": 1448
+    },
+    {
+      "epoch": 3.32,
+      "learning_rate": 5.342649266899955e-05,
+      "loss": 0.8342,
+      "step": 1449
+    },
+    {
+      "epoch": 3.32,
+      "learning_rate": 5.329503651194805e-05,
+      "loss": 0.8447,
+      "step": 1450
+    },
+    {
+      "epoch": 3.32,
+      "learning_rate": 5.316368350097869e-05,
+      "loss": 0.7877,
+      "step": 1451
+    },
+    {
+      "epoch": 3.33,
+      "learning_rate": 5.3032433926179395e-05,
+      "loss": 0.7965,
+      "step": 1452
+    },
+    {
+      "epoch": 3.33,
+      "learning_rate": 5.290128807740976e-05,
+      "loss": 0.7844,
+      "step": 1453
+    },
+    {
+      "epoch": 3.33,
+      "learning_rate": 5.2770246244300224e-05,
+      "loss": 0.7405,
+      "step": 1454
+    },
+    {
+      "epoch": 3.33,
+      "learning_rate": 5.263930871625151e-05,
+      "loss": 0.7782,
+      "step": 1455
+    },
+    {
+      "epoch": 3.34,
+      "learning_rate": 5.2508475782434093e-05,
+      "loss": 0.7789,
+      "step": 1456
+    },
+    {
+      "epoch": 3.34,
+      "learning_rate": 5.237774773178734e-05,
+      "loss": 0.8943,
+      "step": 1457
+    },
+    {
+      "epoch": 3.34,
+      "learning_rate": 5.224712485301898e-05,
+      "loss": 0.7712,
+      "step": 1458
+    },
+    {
+      "epoch": 3.34,
+      "learning_rate": 5.211660743460458e-05,
+      "loss": 0.8608,
+      "step": 1459
+    },
+    {
+      "epoch": 3.34,
+      "learning_rate": 5.198619576478678e-05,
+      "loss": 0.7212,
+      "step": 1460
+    },
+    {
+      "epoch": 3.35,
+      "learning_rate": 5.1855890131574614e-05,
+      "loss": 0.7588,
+      "step": 1461
+    },
+    {
+      "epoch": 3.35,
+      "learning_rate": 5.17256908227429e-05,
+      "loss": 0.8001,
+      "step": 1462
+    },
+    {
+      "epoch": 3.35,
+      "learning_rate": 5.159559812583181e-05,
+      "loss": 0.8327,
+      "step": 1463
+    },
+    {
+      "epoch": 3.35,
+      "learning_rate": 5.146561232814593e-05,
+      "loss": 0.8874,
+      "step": 1464
+    },
+    {
+      "epoch": 3.36,
+      "learning_rate": 5.133573371675375e-05,
+      "loss": 0.6802,
+      "step": 1465
+    },
+    {
+      "epoch": 3.36,
+      "learning_rate": 5.1205962578487155e-05,
+      "loss": 0.7581,
+      "step": 1466
+    },
+    {
+      "epoch": 3.36,
+      "learning_rate": 5.1076299199940645e-05,
+      "loss": 0.8714,
+      "step": 1467
+    },
+    {
+      "epoch": 3.36,
+      "learning_rate": 5.094674386747067e-05,
+      "loss": 0.6667,
+      "step": 1468
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 5.081729686719508e-05,
+      "loss": 0.8107,
+      "step": 1469
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 5.068795848499257e-05,
+      "loss": 0.8891,
+      "step": 1470
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 5.0558729006501846e-05,
+      "loss": 0.7259,
+      "step": 1471
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 5.042960871712112e-05,
+      "loss": 0.8035,
+      "step": 1472
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 5.030059790200756e-05,
+      "loss": 0.7042,
+      "step": 1473
+    },
+    {
+      "epoch": 3.38,
+      "learning_rate": 5.0171696846076446e-05,
+      "loss": 0.7852,
+      "step": 1474
+    },
+    {
+      "epoch": 3.38,
+      "learning_rate": 5.004290583400075e-05,
+      "loss": 0.8489,
+      "step": 1475
+    },
+    {
+      "epoch": 3.38,
+      "learning_rate": 4.9914225150210335e-05,
+      "loss": 0.7696,
+      "step": 1476
+    },
+    {
+      "epoch": 3.38,
+      "learning_rate": 4.97856550788915e-05,
+      "loss": 0.7,
+      "step": 1477
+    },
+    {
+      "epoch": 3.39,
+      "learning_rate": 4.9657195903986185e-05,
+      "loss": 0.8373,
+      "step": 1478
+    },
+    {
+      "epoch": 3.39,
+      "learning_rate": 4.952884790919141e-05,
+      "loss": 0.8822,
+      "step": 1479
+    },
+    {
+      "epoch": 3.39,
+      "learning_rate": 4.940061137795876e-05,
+      "loss": 0.7292,
+      "step": 1480
+    },
+    {
+      "epoch": 3.39,
+      "learning_rate": 4.927248659349355e-05,
+      "loss": 0.8165,
+      "step": 1481
+    },
+    {
+      "epoch": 3.4,
+      "learning_rate": 4.914447383875432e-05,
+      "loss": 0.7782,
+      "step": 1482
+    },
+    {
+      "epoch": 3.4,
+      "learning_rate": 4.901657339645226e-05,
+      "loss": 0.8172,
+      "step": 1483
+    },
+    {
+      "epoch": 3.4,
+      "learning_rate": 4.888878554905051e-05,
+      "loss": 0.8072,
+      "step": 1484
+    },
+    {
+      "epoch": 3.4,
+      "learning_rate": 4.876111057876347e-05,
+      "loss": 0.7715,
+      "step": 1485
+    },
+    {
+      "epoch": 3.4,
+      "learning_rate": 4.863354876755637e-05,
+      "loss": 0.7384,
+      "step": 1486
+    },
+    {
+      "epoch": 3.41,
+      "learning_rate": 4.850610039714444e-05,
+      "loss": 0.7881,
+      "step": 1487
+    },
+    {
+      "epoch": 3.41,
+      "learning_rate": 4.837876574899237e-05,
+      "loss": 0.7962,
+      "step": 1488
+    },
+    {
+      "epoch": 3.41,
+      "learning_rate": 4.8251545104313836e-05,
+      "loss": 0.5635,
+      "step": 1489
+    },
+    {
+      "epoch": 3.41,
+      "learning_rate": 4.812443874407059e-05,
+      "loss": 0.7454,
+      "step": 1490
+    },
+    {
+      "epoch": 3.42,
+      "learning_rate": 4.7997446948972015e-05,
+      "loss": 0.8505,
+      "step": 1491
+    },
+    {
+      "epoch": 3.42,
+      "learning_rate": 4.787056999947455e-05,
+      "loss": 0.6157,
+      "step": 1492
+    },
+    {
+      "epoch": 3.42,
+      "learning_rate": 4.774380817578101e-05,
+      "loss": 0.7731,
+      "step": 1493
+    },
+    {
+      "epoch": 3.42,
+      "learning_rate": 4.761716175783989e-05,
+      "loss": 0.8062,
+      "step": 1494
+    },
+    {
+      "epoch": 3.42,
+      "learning_rate": 4.74906310253448e-05,
+      "loss": 0.7027,
+      "step": 1495
+    },
+    {
+      "epoch": 3.43,
+      "learning_rate": 4.736421625773396e-05,
+      "loss": 0.7,
+      "step": 1496
+    },
+    {
+      "epoch": 3.43,
+      "learning_rate": 4.723791773418942e-05,
+      "loss": 0.7822,
+      "step": 1497
+    },
+    {
+      "epoch": 3.43,
+      "learning_rate": 4.7111735733636466e-05,
+      "loss": 0.6308,
+      "step": 1498
+    },
+    {
+      "epoch": 3.43,
+      "learning_rate": 4.698567053474315e-05,
+      "loss": 0.6722,
+      "step": 1499
+    },
+    {
+      "epoch": 3.44,
+      "learning_rate": 4.685972241591956e-05,
+      "loss": 0.749,
+      "step": 1500
+    },
+    {
+      "epoch": 3.44,
+      "learning_rate": 4.673389165531714e-05,
+      "loss": 0.7784,
+      "step": 1501
+    },
+    {
+      "epoch": 3.44,
+      "learning_rate": 4.6608178530828174e-05,
+      "loss": 0.7971,
+      "step": 1502
+    },
+    {
+      "epoch": 3.44,
+      "learning_rate": 4.648258332008523e-05,
+      "loss": 0.8398,
+      "step": 1503
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 4.6357106300460374e-05,
+      "loss": 0.6559,
+      "step": 1504
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 4.6231747749064644e-05,
+      "loss": 0.7837,
+      "step": 1505
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 4.610650794274759e-05,
+      "loss": 0.8072,
+      "step": 1506
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 4.598138715809633e-05,
+      "loss": 0.7441,
+      "step": 1507
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 4.585638567143529e-05,
+      "loss": 0.8233,
+      "step": 1508
+    },
+    {
+      "epoch": 3.46,
+      "learning_rate": 4.573150375882527e-05,
+      "loss": 0.8868,
+      "step": 1509
+    },
+    {
+      "epoch": 3.46,
+      "learning_rate": 4.560674169606317e-05,
+      "loss": 0.7059,
+      "step": 1510
+    },
+    {
+      "epoch": 3.46,
+      "learning_rate": 4.548209975868108e-05,
+      "loss": 0.8349,
+      "step": 1511
+    },
+    {
+      "epoch": 3.46,
+      "learning_rate": 4.5357578221945794e-05,
+      "loss": 0.817,
+      "step": 1512
+    },
+    {
+      "epoch": 3.47,
+      "learning_rate": 4.523317736085831e-05,
+      "loss": 0.7375,
+      "step": 1513
+    },
+    {
+      "epoch": 3.47,
+      "learning_rate": 4.5108897450153054e-05,
+      "loss": 0.8338,
+      "step": 1514
+    },
+    {
+      "epoch": 3.47,
+      "learning_rate": 4.498473876429726e-05,
+      "loss": 0.9212,
+      "step": 1515
+    },
+    {
+      "epoch": 3.47,
+      "learning_rate": 4.4860701577490595e-05,
+      "loss": 0.7182,
+      "step": 1516
+    },
+    {
+      "epoch": 3.48,
+      "learning_rate": 4.473678616366433e-05,
+      "loss": 0.8677,
+      "step": 1517
+    },
+    {
+      "epoch": 3.48,
+      "learning_rate": 4.461299279648077e-05,
+      "loss": 0.7868,
+      "step": 1518
+    },
+    {
+      "epoch": 3.48,
+      "learning_rate": 4.4489321749332744e-05,
+      "loss": 0.7078,
+      "step": 1519
+    },
+    {
+      "epoch": 3.48,
+      "learning_rate": 4.436577329534291e-05,
+      "loss": 0.6872,
+      "step": 1520
+    },
+    {
+      "epoch": 3.48,
+      "learning_rate": 4.424234770736314e-05,
+      "loss": 0.7523,
+      "step": 1521
+    },
+    {
+      "epoch": 3.49,
+      "learning_rate": 4.411904525797408e-05,
+      "loss": 0.7107,
+      "step": 1522
+    },
+    {
+      "epoch": 3.49,
+      "learning_rate": 4.3995866219484326e-05,
+      "loss": 0.8932,
+      "step": 1523
+    },
+    {
+      "epoch": 3.49,
+      "learning_rate": 4.387281086392994e-05,
+      "loss": 0.7811,
+      "step": 1524
+    },
+    {
+      "epoch": 3.49,
+      "learning_rate": 4.374987946307385e-05,
+      "loss": 0.8946,
+      "step": 1525
+    },
+    {
+      "epoch": 3.5,
+      "learning_rate": 4.362707228840531e-05,
+      "loss": 0.8496,
+      "step": 1526
+    },
+    {
+      "epoch": 3.5,
+      "learning_rate": 4.350438961113911e-05,
+      "loss": 0.6998,
+      "step": 1527
+    },
+    {
+      "epoch": 3.5,
+      "learning_rate": 4.3381831702215084e-05,
+      "loss": 0.6792,
+      "step": 1528
+    },
+    {
+      "epoch": 3.5,
+      "learning_rate": 4.325939883229766e-05,
+      "loss": 0.7644,
+      "step": 1529
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 4.3137091271775e-05,
+      "loss": 0.6055,
+      "step": 1530
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 4.301490929075852e-05,
+      "loss": 0.7126,
+      "step": 1531
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 4.289285315908237e-05,
+      "loss": 0.7635,
+      "step": 1532
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 4.277092314630278e-05,
+      "loss": 0.9089,
+      "step": 1533
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 4.264911952169735e-05,
+      "loss": 0.7267,
+      "step": 1534
+    },
+    {
+      "epoch": 3.52,
+      "learning_rate": 4.2527442554264605e-05,
+      "loss": 0.6774,
+      "step": 1535
+    },
+    {
+      "epoch": 3.52,
+      "learning_rate": 4.240589251272342e-05,
+      "loss": 0.8402,
+      "step": 1536
+    },
+    {
+      "epoch": 3.52,
+      "learning_rate": 4.228446966551226e-05,
+      "loss": 0.8603,
+      "step": 1537
+    },
+    {
+      "epoch": 3.52,
+      "learning_rate": 4.2163174280788697e-05,
+      "loss": 0.6459,
+      "step": 1538
+    },
+    {
+      "epoch": 3.53,
+      "learning_rate": 4.2042006626428906e-05,
+      "loss": 0.7192,
+      "step": 1539
+    },
+    {
+      "epoch": 3.53,
+      "learning_rate": 4.192096697002686e-05,
+      "loss": 0.8621,
+      "step": 1540
+    },
+    {
+      "epoch": 3.53,
+      "learning_rate": 4.1800055578893883e-05,
+      "loss": 0.8194,
+      "step": 1541
+    },
+    {
+      "epoch": 3.53,
+      "learning_rate": 4.167927272005805e-05,
+      "loss": 0.8702,
+      "step": 1542
+    },
+    {
+      "epoch": 3.53,
+      "learning_rate": 4.155861866026364e-05,
+      "loss": 0.8677,
+      "step": 1543
+    },
+    {
+      "epoch": 3.54,
+      "learning_rate": 4.143809366597037e-05,
+      "loss": 0.7971,
+      "step": 1544
+    },
+    {
+      "epoch": 3.54,
+      "learning_rate": 4.131769800335292e-05,
+      "loss": 0.7896,
+      "step": 1545
+    },
+    {
+      "epoch": 3.54,
+      "learning_rate": 4.119743193830048e-05,
+      "loss": 0.889,
+      "step": 1546
+    },
+    {
+      "epoch": 3.54,
+      "learning_rate": 4.10772957364159e-05,
+      "loss": 0.7497,
+      "step": 1547
+    },
+    {
+      "epoch": 3.55,
+      "learning_rate": 4.0957289663015255e-05,
+      "loss": 0.9096,
+      "step": 1548
+    },
+    {
+      "epoch": 3.55,
+      "learning_rate": 4.083741398312727e-05,
+      "loss": 0.8658,
+      "step": 1549
+    },
+    {
+      "epoch": 3.55,
+      "learning_rate": 4.071766896149273e-05,
+      "loss": 0.5634,
+      "step": 1550
+    },
+    {
+      "epoch": 3.55,
+      "learning_rate": 4.059805486256376e-05,
+      "loss": 0.6693,
+      "step": 1551
+    },
+    {
+      "epoch": 3.56,
+      "learning_rate": 4.0478571950503486e-05,
+      "loss": 0.7128,
+      "step": 1552
+    },
+    {
+      "epoch": 3.56,
+      "learning_rate": 4.035922048918519e-05,
+      "loss": 0.7838,
+      "step": 1553
+    },
+    {
+      "epoch": 3.56,
+      "learning_rate": 4.024000074219187e-05,
+      "loss": 0.9549,
+      "step": 1554
+    },
+    {
+      "epoch": 3.56,
+      "learning_rate": 4.012091297281574e-05,
+      "loss": 0.6245,
+      "step": 1555
+    },
+    {
+      "epoch": 3.56,
+      "learning_rate": 4.0001957444057426e-05,
+      "loss": 0.7671,
+      "step": 1556
+    },
+    {
+      "epoch": 3.57,
+      "learning_rate": 3.988313441862553e-05,
+      "loss": 0.6645,
+      "step": 1557
+    },
+    {
+      "epoch": 3.57,
+      "learning_rate": 3.976444415893608e-05,
+      "loss": 0.8291,
+      "step": 1558
+    },
+    {
+      "epoch": 3.57,
+      "learning_rate": 3.96458869271119e-05,
+      "loss": 0.8715,
+      "step": 1559
+    },
+    {
+      "epoch": 3.57,
+      "learning_rate": 3.952746298498195e-05,
+      "loss": 0.8423,
+      "step": 1560
+    },
+    {
+      "epoch": 3.58,
+      "learning_rate": 3.940917259408085e-05,
+      "loss": 0.8303,
+      "step": 1561
+    },
+    {
+      "epoch": 3.58,
+      "learning_rate": 3.929101601564834e-05,
+      "loss": 0.7876,
+      "step": 1562
+    },
+    {
+      "epoch": 3.58,
+      "learning_rate": 3.9172993510628574e-05,
+      "loss": 0.7409,
+      "step": 1563
+    },
+    {
+      "epoch": 3.58,
+      "learning_rate": 3.9055105339669595e-05,
+      "loss": 0.8988,
+      "step": 1564
+    },
+    {
+      "epoch": 3.59,
+      "learning_rate": 3.8937351763122845e-05,
+      "loss": 1.0367,
+      "step": 1565
+    },
+    {
+      "epoch": 3.59,
+      "learning_rate": 3.8819733041042515e-05,
+      "loss": 0.682,
+      "step": 1566
+    },
+    {
+      "epoch": 3.59,
+      "learning_rate": 3.870224943318491e-05,
+      "loss": 0.815,
+      "step": 1567
+    },
+    {
+      "epoch": 3.59,
+      "learning_rate": 3.858490119900794e-05,
+      "loss": 0.6516,
+      "step": 1568
+    },
+    {
+      "epoch": 3.59,
+      "learning_rate": 3.846768859767066e-05,
+      "loss": 0.7371,
+      "step": 1569
+    },
+    {
+      "epoch": 3.6,
+      "learning_rate": 3.8350611888032474e-05,
+      "loss": 0.7401,
+      "step": 1570
+    },
+    {
+      "epoch": 3.6,
+      "learning_rate": 3.823367132865265e-05,
+      "loss": 0.7305,
+      "step": 1571
+    },
+    {
+      "epoch": 3.6,
+      "learning_rate": 3.8116867177789936e-05,
+      "loss": 0.7422,
+      "step": 1572
+    },
+    {
+      "epoch": 3.6,
+      "learning_rate": 3.8000199693401675e-05,
+      "loss": 0.7621,
+      "step": 1573
+    },
+    {
+      "epoch": 3.61,
+      "learning_rate": 3.788366913314339e-05,
+      "loss": 0.935,
+      "step": 1574
+    },
+    {
+      "epoch": 3.61,
+      "learning_rate": 3.776727575436829e-05,
+      "loss": 0.7587,
+      "step": 1575
+    },
+    {
+      "epoch": 3.61,
+      "learning_rate": 3.7651019814126654e-05,
+      "loss": 0.9029,
+      "step": 1576
+    },
+    {
+      "epoch": 3.61,
+      "learning_rate": 3.753490156916511e-05,
+      "loss": 0.8324,
+      "step": 1577
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 3.741892127592625e-05,
+      "loss": 0.7316,
+      "step": 1578
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 3.730307919054803e-05,
+      "loss": 0.684,
+      "step": 1579
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 3.718737556886316e-05,
+      "loss": 0.7547,
+      "step": 1580
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 3.7071810666398496e-05,
+      "loss": 0.8581,
+      "step": 1581
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 3.695638473837466e-05,
+      "loss": 0.7707,
+      "step": 1582
+    },
+    {
+      "epoch": 3.63,
+      "learning_rate": 3.684109803970531e-05,
+      "loss": 0.755,
+      "step": 1583
+    },
+    {
+      "epoch": 3.63,
+      "learning_rate": 3.6725950824996535e-05,
+      "loss": 0.8436,
+      "step": 1584
+    },
+    {
+      "epoch": 3.63,
+      "learning_rate": 3.6610943348546526e-05,
+      "loss": 0.7491,
+      "step": 1585
+    },
+    {
+      "epoch": 3.63,
+      "learning_rate": 3.649607586434474e-05,
+      "loss": 0.6946,
+      "step": 1586
+    },
+    {
+      "epoch": 3.64,
+      "learning_rate": 3.6381348626071475e-05,
+      "loss": 0.7697,
+      "step": 1587
+    },
+    {
+      "epoch": 3.64,
+      "learning_rate": 3.626676188709743e-05,
+      "loss": 0.8108,
+      "step": 1588
+    },
+    {
+      "epoch": 3.64,
+      "learning_rate": 3.6152315900482905e-05,
+      "loss": 0.7676,
+      "step": 1589
+    },
+    {
+      "epoch": 3.64,
+      "learning_rate": 3.603801091897731e-05,
+      "loss": 0.8506,
+      "step": 1590
+    },
+    {
+      "epoch": 3.64,
+      "learning_rate": 3.592384719501878e-05,
+      "loss": 0.7521,
+      "step": 1591
+    },
+    {
+      "epoch": 3.65,
+      "learning_rate": 3.580982498073344e-05,
+      "loss": 0.8371,
+      "step": 1592
+    },
+    {
+      "epoch": 3.65,
+      "learning_rate": 3.5695944527934865e-05,
+      "loss": 0.816,
+      "step": 1593
+    },
+    {
+      "epoch": 3.65,
+      "learning_rate": 3.5582206088123535e-05,
+      "loss": 0.7097,
+      "step": 1594
+    },
+    {
+      "epoch": 3.65,
+      "learning_rate": 3.546860991248641e-05,
+      "loss": 0.7147,
+      "step": 1595
+    },
+    {
+      "epoch": 3.66,
+      "learning_rate": 3.5355156251896136e-05,
+      "loss": 0.7807,
+      "step": 1596
+    },
+    {
+      "epoch": 3.66,
+      "learning_rate": 3.524184535691068e-05,
+      "loss": 0.8517,
+      "step": 1597
+    },
+    {
+      "epoch": 3.66,
+      "learning_rate": 3.5128677477772734e-05,
+      "loss": 0.8549,
+      "step": 1598
+    },
+    {
+      "epoch": 3.66,
+      "learning_rate": 3.501565286440914e-05,
+      "loss": 0.7514,
+      "step": 1599
+    },
+    {
+      "epoch": 3.67,
+      "learning_rate": 3.490277176643033e-05,
+      "loss": 0.8055,
+      "step": 1600
+    },
+    {
+      "epoch": 3.67,
+      "learning_rate": 3.4790034433129725e-05,
+      "loss": 0.5494,
+      "step": 1601
+    },
+    {
+      "epoch": 3.67,
+      "learning_rate": 3.467744111348338e-05,
+      "loss": 0.9018,
+      "step": 1602
+    },
+    {
+      "epoch": 3.67,
+      "learning_rate": 3.4564992056149214e-05,
+      "loss": 0.7319,
+      "step": 1603
+    },
+    {
+      "epoch": 3.67,
+      "learning_rate": 3.445268750946651e-05,
+      "loss": 0.8997,
+      "step": 1604
+    },
+    {
+      "epoch": 3.68,
+      "learning_rate": 3.434052772145554e-05,
+      "loss": 0.7977,
+      "step": 1605
+    },
+    {
+      "epoch": 3.68,
+      "learning_rate": 3.422851293981676e-05,
+      "loss": 0.7205,
+      "step": 1606
+    },
+    {
+      "epoch": 3.68,
+      "learning_rate": 3.411664341193041e-05,
+      "loss": 0.848,
+      "step": 1607
+    },
+    {
+      "epoch": 3.68,
+      "learning_rate": 3.400491938485596e-05,
+      "loss": 0.7864,
+      "step": 1608
+    },
+    {
+      "epoch": 3.69,
+      "learning_rate": 3.389334110533161e-05,
+      "loss": 0.7184,
+      "step": 1609
+    },
+    {
+      "epoch": 3.69,
+      "learning_rate": 3.378190881977359e-05,
+      "loss": 0.8362,
+      "step": 1610
+    },
+    {
+      "epoch": 3.69,
+      "learning_rate": 3.367062277427567e-05,
+      "loss": 0.6743,
+      "step": 1611
+    },
+    {
+      "epoch": 3.69,
+      "learning_rate": 3.3559483214608824e-05,
+      "loss": 0.7561,
+      "step": 1612
+    },
+    {
+      "epoch": 3.7,
+      "learning_rate": 3.3448490386220355e-05,
+      "loss": 0.7342,
+      "step": 1613
+    },
+    {
+      "epoch": 3.7,
+      "learning_rate": 3.333764453423357e-05,
+      "loss": 0.7918,
+      "step": 1614
+    },
+    {
+      "epoch": 3.7,
+      "learning_rate": 3.322694590344719e-05,
+      "loss": 0.75,
+      "step": 1615
+    },
+    {
+      "epoch": 3.7,
+      "learning_rate": 3.3116394738334866e-05,
+      "loss": 0.7874,
+      "step": 1616
+    },
+    {
+      "epoch": 3.7,
+      "learning_rate": 3.300599128304443e-05,
+      "loss": 0.7555,
+      "step": 1617
+    },
+    {
+      "epoch": 3.71,
+      "learning_rate": 3.2895735781397685e-05,
+      "loss": 0.8434,
+      "step": 1618
+    },
+    {
+      "epoch": 3.71,
+      "learning_rate": 3.278562847688951e-05,
+      "loss": 0.8756,
+      "step": 1619
+    },
+    {
+      "epoch": 3.71,
+      "learning_rate": 3.2675669612687565e-05,
+      "loss": 0.8765,
+      "step": 1620
+    },
+    {
+      "epoch": 3.71,
+      "learning_rate": 3.256585943163176e-05,
+      "loss": 0.8501,
+      "step": 1621
+    },
+    {
+      "epoch": 3.72,
+      "learning_rate": 3.2456198176233543e-05,
+      "loss": 1.0232,
+      "step": 1622
+    },
+    {
+      "epoch": 3.72,
+      "learning_rate": 3.234668608867547e-05,
+      "loss": 0.7117,
+      "step": 1623
+    },
+    {
+      "epoch": 3.72,
+      "learning_rate": 3.2237323410810715e-05,
+      "loss": 0.9795,
+      "step": 1624
+    },
+    {
+      "epoch": 3.72,
+      "learning_rate": 3.212811038416251e-05,
+      "loss": 0.887,
+      "step": 1625
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 3.201904724992352e-05,
+      "loss": 0.7008,
+      "step": 1626
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 3.191013424895536e-05,
+      "loss": 0.7542,
+      "step": 1627
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 3.18013716217882e-05,
+      "loss": 0.871,
+      "step": 1628
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 3.1692759608620004e-05,
+      "loss": 0.7761,
+      "step": 1629
+    },
+    {
+      "epoch": 3.73,
+      "learning_rate": 3.158429844931611e-05,
+      "loss": 0.842,
+      "step": 1630
+    },
+    {
+      "epoch": 3.74,
+      "learning_rate": 3.1475988383408774e-05,
+      "loss": 0.8322,
+      "step": 1631
+    },
+    {
+      "epoch": 3.74,
+      "learning_rate": 3.136782965009658e-05,
+      "loss": 0.7911,
+      "step": 1632
+    },
+    {
+      "epoch": 3.74,
+      "learning_rate": 3.1259822488243806e-05,
+      "loss": 0.8911,
+      "step": 1633
+    },
+    {
+      "epoch": 3.74,
+      "learning_rate": 3.115196713638e-05,
+      "loss": 0.9232,
+      "step": 1634
+    },
+    {
+      "epoch": 3.75,
+      "learning_rate": 3.104426383269957e-05,
+      "loss": 0.8265,
+      "step": 1635
+    },
+    {
+      "epoch": 3.75,
+      "learning_rate": 3.093671281506099e-05,
+      "loss": 0.7861,
+      "step": 1636
+    },
+    {
+      "epoch": 3.75,
+      "learning_rate": 3.0829314320986433e-05,
+      "loss": 0.6548,
+      "step": 1637
+    },
+    {
+      "epoch": 3.75,
+      "learning_rate": 3.072206858766134e-05,
+      "loss": 0.7974,
+      "step": 1638
+    },
+    {
+      "epoch": 3.75,
+      "learning_rate": 3.061497585193369e-05,
+      "loss": 0.849,
+      "step": 1639
+    },
+    {
+      "epoch": 3.76,
+      "learning_rate": 3.050803635031355e-05,
+      "loss": 0.7438,
+      "step": 1640
+    },
+    {
+      "epoch": 3.76,
+      "learning_rate": 3.040125031897264e-05,
+      "loss": 0.838,
+      "step": 1641
+    },
+    {
+      "epoch": 3.76,
+      "learning_rate": 3.029461799374378e-05,
+      "loss": 0.8879,
+      "step": 1642
+    },
+    {
+      "epoch": 3.76,
+      "learning_rate": 3.0188139610120248e-05,
+      "loss": 0.7747,
+      "step": 1643
+    },
+    {
+      "epoch": 3.77,
+      "learning_rate": 3.0081815403255332e-05,
+      "loss": 0.7179,
+      "step": 1644
+    },
+    {
+      "epoch": 3.77,
+      "learning_rate": 2.9975645607961955e-05,
+      "loss": 0.7618,
+      "step": 1645
+    },
+    {
+      "epoch": 3.77,
+      "learning_rate": 2.9869630458711927e-05,
+      "loss": 0.6977,
+      "step": 1646
+    },
+    {
+      "epoch": 3.77,
+      "learning_rate": 2.9763770189635497e-05,
+      "loss": 0.8052,
+      "step": 1647
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 2.9658065034520978e-05,
+      "loss": 0.728,
+      "step": 1648
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 2.955251522681408e-05,
+      "loss": 0.8593,
+      "step": 1649
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 2.944712099961736e-05,
+      "loss": 0.8347,
+      "step": 1650
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 2.9341882585689905e-05,
+      "loss": 0.733,
+      "step": 1651
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 2.9236800217446593e-05,
+      "loss": 0.6998,
+      "step": 1652
+    },
+    {
+      "epoch": 3.79,
+      "learning_rate": 2.9131874126957727e-05,
+      "loss": 0.8923,
+      "step": 1653
+    },
+    {
+      "epoch": 3.79,
+      "learning_rate": 2.9027104545948414e-05,
+      "loss": 0.5376,
+      "step": 1654
+    },
+    {
+      "epoch": 3.79,
+      "learning_rate": 2.892249170579826e-05,
+      "loss": 0.7465,
+      "step": 1655
+    },
+    {
+      "epoch": 3.79,
+      "learning_rate": 2.8818035837540537e-05,
+      "loss": 0.7833,
+      "step": 1656
+    },
+    {
+      "epoch": 3.8,
+      "learning_rate": 2.8713737171861986e-05,
+      "loss": 0.7611,
+      "step": 1657
+    },
+    {
+      "epoch": 3.8,
+      "learning_rate": 2.8609595939102153e-05,
+      "loss": 0.7226,
+      "step": 1658
+    },
+    {
+      "epoch": 3.8,
+      "learning_rate": 2.8505612369252832e-05,
+      "loss": 0.8847,
+      "step": 1659
+    },
+    {
+      "epoch": 3.8,
+      "learning_rate": 2.840178669195763e-05,
+      "loss": 0.7511,
+      "step": 1660
+    },
+    {
+      "epoch": 3.81,
+      "learning_rate": 2.8298119136511558e-05,
+      "loss": 0.6833,
+      "step": 1661
+    },
+    {
+      "epoch": 3.81,
+      "learning_rate": 2.8194609931860316e-05,
+      "loss": 0.7595,
+      "step": 1662
+    },
+    {
+      "epoch": 3.81,
+      "learning_rate": 2.8091259306599904e-05,
+      "loss": 0.7486,
+      "step": 1663
+    },
+    {
+      "epoch": 3.81,
+      "learning_rate": 2.7988067488976156e-05,
+      "loss": 0.8106,
+      "step": 1664
+    },
+    {
+      "epoch": 3.81,
+      "learning_rate": 2.7885034706884185e-05,
+      "loss": 0.8012,
+      "step": 1665
+    },
+    {
+      "epoch": 3.82,
+      "learning_rate": 2.7782161187867818e-05,
+      "loss": 0.7598,
+      "step": 1666
+    },
+    {
+      "epoch": 3.82,
+      "learning_rate": 2.7679447159119164e-05,
+      "loss": 0.6638,
+      "step": 1667
+    },
+    {
+      "epoch": 3.82,
+      "learning_rate": 2.7576892847478207e-05,
+      "loss": 0.6576,
+      "step": 1668
+    },
+    {
+      "epoch": 3.82,
+      "learning_rate": 2.7474498479432087e-05,
+      "loss": 0.8174,
+      "step": 1669
+    },
+    {
+      "epoch": 3.83,
+      "learning_rate": 2.737226428111471e-05,
+      "loss": 0.868,
+      "step": 1670
+    },
+    {
+      "epoch": 3.83,
+      "learning_rate": 2.7270190478306378e-05,
+      "loss": 0.6411,
+      "step": 1671
+    },
+    {
+      "epoch": 3.83,
+      "learning_rate": 2.7168277296433053e-05,
+      "loss": 0.7872,
+      "step": 1672
+    },
+    {
+      "epoch": 3.83,
+      "learning_rate": 2.7066524960565965e-05,
+      "loss": 0.7556,
+      "step": 1673
+    },
+    {
+      "epoch": 3.84,
+      "learning_rate": 2.6964933695421192e-05,
+      "loss": 0.8606,
+      "step": 1674
+    },
+    {
+      "epoch": 3.84,
+      "learning_rate": 2.6863503725359107e-05,
+      "loss": 0.7776,
+      "step": 1675
+    },
+    {
+      "epoch": 3.84,
+      "learning_rate": 2.6762235274383772e-05,
+      "loss": 0.7095,
+      "step": 1676
+    },
+    {
+      "epoch": 3.84,
+      "learning_rate": 2.666112856614259e-05,
+      "loss": 0.8587,
+      "step": 1677
+    },
+    {
+      "epoch": 3.84,
+      "learning_rate": 2.65601838239258e-05,
+      "loss": 0.8568,
+      "step": 1678
+    },
+    {
+      "epoch": 3.85,
+      "learning_rate": 2.6459401270665894e-05,
+      "loss": 0.7725,
+      "step": 1679
+    },
+    {
+      "epoch": 3.85,
+      "learning_rate": 2.6358781128937172e-05,
+      "loss": 0.8665,
+      "step": 1680
+    },
+    {
+      "epoch": 3.85,
+      "learning_rate": 2.625832362095528e-05,
+      "loss": 0.8286,
+      "step": 1681
+    },
+    {
+      "epoch": 3.85,
+      "learning_rate": 2.6158028968576743e-05,
+      "loss": 0.9445,
+      "step": 1682
+    },
+    {
+      "epoch": 3.86,
+      "learning_rate": 2.6057897393298324e-05,
+      "loss": 0.7562,
+      "step": 1683
+    },
+    {
+      "epoch": 3.86,
+      "learning_rate": 2.5957929116256675e-05,
+      "loss": 0.8086,
+      "step": 1684
+    },
+    {
+      "epoch": 3.86,
+      "learning_rate": 2.5858124358227853e-05,
+      "loss": 0.8513,
+      "step": 1685
+    },
+    {
+      "epoch": 3.86,
+      "learning_rate": 2.5758483339626738e-05,
+      "loss": 0.7107,
+      "step": 1686
+    },
+    {
+      "epoch": 3.86,
+      "learning_rate": 2.565900628050659e-05,
+      "loss": 0.7926,
+      "step": 1687
+    },
+    {
+      "epoch": 3.87,
+      "learning_rate": 2.5559693400558658e-05,
+      "loss": 0.7839,
+      "step": 1688
+    },
+    {
+      "epoch": 3.87,
+      "learning_rate": 2.546054491911147e-05,
+      "loss": 0.8132,
+      "step": 1689
+    },
+    {
+      "epoch": 3.87,
+      "learning_rate": 2.536156105513062e-05,
+      "loss": 0.6755,
+      "step": 1690
+    },
+    {
+      "epoch": 3.87,
+      "learning_rate": 2.52627420272181e-05,
+      "loss": 0.7823,
+      "step": 1691
+    },
+    {
+      "epoch": 3.88,
+      "learning_rate": 2.5164088053611845e-05,
+      "loss": 0.8078,
+      "step": 1692
+    },
+    {
+      "epoch": 3.88,
+      "learning_rate": 2.5065599352185254e-05,
+      "loss": 0.7328,
+      "step": 1693
+    },
+    {
+      "epoch": 3.88,
+      "learning_rate": 2.4967276140446826e-05,
+      "loss": 0.9089,
+      "step": 1694
+    },
+    {
+      "epoch": 3.88,
+      "learning_rate": 2.48691186355395e-05,
+      "loss": 0.7683,
+      "step": 1695
+    },
+    {
+      "epoch": 3.89,
+      "learning_rate": 2.477112705424024e-05,
+      "loss": 0.7681,
+      "step": 1696
+    },
+    {
+      "epoch": 3.89,
+      "learning_rate": 2.4673301612959654e-05,
+      "loss": 0.8331,
+      "step": 1697
+    },
+    {
+      "epoch": 3.89,
+      "learning_rate": 2.4575642527741415e-05,
+      "loss": 0.7678,
+      "step": 1698
+    },
+    {
+      "epoch": 3.89,
+      "learning_rate": 2.447815001426177e-05,
+      "loss": 0.7815,
+      "step": 1699
+    },
+    {
+      "epoch": 3.89,
+      "learning_rate": 2.4380824287829074e-05,
+      "loss": 0.9155,
+      "step": 1700
+    },
+    {
+      "epoch": 3.9,
+      "learning_rate": 2.428366556338344e-05,
+      "loss": 0.7475,
+      "step": 1701
+    },
+    {
+      "epoch": 3.9,
+      "learning_rate": 2.4186674055496083e-05,
+      "loss": 0.6909,
+      "step": 1702
+    },
+    {
+      "epoch": 3.9,
+      "learning_rate": 2.4089849978368918e-05,
+      "loss": 0.7278,
+      "step": 1703
+    },
+    {
+      "epoch": 3.9,
+      "learning_rate": 2.399319354583418e-05,
+      "loss": 0.8053,
+      "step": 1704
+    },
+    {
+      "epoch": 3.91,
+      "learning_rate": 2.389670497135379e-05,
+      "loss": 0.6703,
+      "step": 1705
+    },
+    {
+      "epoch": 3.91,
+      "learning_rate": 2.3800384468018954e-05,
+      "loss": 0.7334,
+      "step": 1706
+    },
+    {
+      "epoch": 3.91,
+      "learning_rate": 2.370423224854975e-05,
+      "loss": 0.7021,
+      "step": 1707
+    },
+    {
+      "epoch": 3.91,
+      "learning_rate": 2.3608248525294628e-05,
+      "loss": 0.7711,
+      "step": 1708
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 2.3512433510229858e-05,
+      "loss": 0.8555,
+      "step": 1709
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 2.3416787414959097e-05,
+      "loss": 0.7019,
+      "step": 1710
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 2.3321310450713062e-05,
+      "loss": 0.9331,
+      "step": 1711
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 2.322600282834888e-05,
+      "loss": 0.7915,
+      "step": 1712
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 2.3130864758349645e-05,
+      "loss": 0.8168,
+      "step": 1713
+    },
+    {
+      "epoch": 3.93,
+      "learning_rate": 2.303589645082411e-05,
+      "loss": 0.7711,
+      "step": 1714
+    },
+    {
+      "epoch": 3.93,
+      "learning_rate": 2.2941098115506065e-05,
+      "loss": 0.7319,
+      "step": 1715
+    },
+    {
+      "epoch": 3.93,
+      "learning_rate": 2.2846469961753915e-05,
+      "loss": 0.7473,
+      "step": 1716
+    },
+    {
+      "epoch": 3.93,
+      "learning_rate": 2.27520121985502e-05,
+      "loss": 0.7365,
+      "step": 1717
+    },
+    {
+      "epoch": 3.94,
+      "learning_rate": 2.265772503450122e-05,
+      "loss": 0.9078,
+      "step": 1718
+    },
+    {
+      "epoch": 3.94,
+      "learning_rate": 2.256360867783648e-05,
+      "loss": 0.6878,
+      "step": 1719
+    },
+    {
+      "epoch": 3.94,
+      "learning_rate": 2.246966333640823e-05,
+      "loss": 0.7913,
+      "step": 1720
+    },
+    {
+      "epoch": 3.94,
+      "learning_rate": 2.2375889217691137e-05,
+      "loss": 0.8684,
+      "step": 1721
+    },
+    {
+      "epoch": 3.95,
+      "learning_rate": 2.2282286528781605e-05,
+      "loss": 0.7516,
+      "step": 1722
+    },
+    {
+      "epoch": 3.95,
+      "learning_rate": 2.218885547639754e-05,
+      "loss": 0.787,
+      "step": 1723
+    },
+    {
+      "epoch": 3.95,
+      "learning_rate": 2.2095596266877782e-05,
+      "loss": 0.801,
+      "step": 1724
+    },
+    {
+      "epoch": 3.95,
+      "learning_rate": 2.2002509106181624e-05,
+      "loss": 0.8423,
+      "step": 1725
+    },
+    {
+      "epoch": 3.95,
+      "learning_rate": 2.1909594199888372e-05,
+      "loss": 0.6984,
+      "step": 1726
+    },
+    {
+      "epoch": 3.96,
+      "learning_rate": 2.181685175319702e-05,
+      "loss": 0.7593,
+      "step": 1727
+    },
+    {
+      "epoch": 3.96,
+      "learning_rate": 2.172428197092561e-05,
+      "loss": 0.7661,
+      "step": 1728
+    },
+    {
+      "epoch": 3.96,
+      "learning_rate": 2.1631885057510838e-05,
+      "loss": 0.8231,
+      "step": 1729
+    },
+    {
+      "epoch": 3.96,
+      "learning_rate": 2.153966121700769e-05,
+      "loss": 0.7426,
+      "step": 1730
+    },
+    {
+      "epoch": 3.97,
+      "learning_rate": 2.1447610653088947e-05,
+      "loss": 0.7836,
+      "step": 1731
+    },
+    {
+      "epoch": 3.97,
+      "learning_rate": 2.1355733569044635e-05,
+      "loss": 0.9467,
+      "step": 1732
+    },
+    {
+      "epoch": 3.97,
+      "learning_rate": 2.126403016778168e-05,
+      "loss": 0.8632,
+      "step": 1733
+    },
+    {
+      "epoch": 3.97,
+      "learning_rate": 2.117250065182349e-05,
+      "loss": 0.8532,
+      "step": 1734
+    },
+    {
+      "epoch": 3.97,
+      "learning_rate": 2.1081145223309395e-05,
+      "loss": 0.769,
+      "step": 1735
+    },
+    {
+      "epoch": 3.98,
+      "learning_rate": 2.0989964083994252e-05,
+      "loss": 0.6967,
+      "step": 1736
+    },
+    {
+      "epoch": 3.98,
+      "learning_rate": 2.08989574352481e-05,
+      "loss": 0.7737,
+      "step": 1737
+    },
+    {
+      "epoch": 3.98,
+      "learning_rate": 2.0808125478055505e-05,
+      "loss": 0.5646,
+      "step": 1738
+    },
+    {
+      "epoch": 3.98,
+      "learning_rate": 2.0717468413015283e-05,
+      "loss": 0.7515,
+      "step": 1739
+    },
+    {
+      "epoch": 3.99,
+      "learning_rate": 2.0626986440340035e-05,
+      "loss": 0.718,
+      "step": 1740
+    },
+    {
+      "epoch": 3.99,
+      "learning_rate": 2.053667975985567e-05,
+      "loss": 0.8102,
+      "step": 1741
+    },
+    {
+      "epoch": 3.99,
+      "learning_rate": 2.0446548571000935e-05,
+      "loss": 0.8485,
+      "step": 1742
+    },
+    {
+      "epoch": 3.99,
+      "learning_rate": 2.035659307282699e-05,
+      "loss": 0.7086,
+      "step": 1743
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 2.0266813463997092e-05,
+      "loss": 0.7731,
+      "step": 1744
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 2.0177209942785958e-05,
+      "loss": 0.5973,
+      "step": 1745
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 2.008778270707944e-05,
+      "loss": 0.8096,
+      "step": 1746
+    }
+  ],
+  "max_steps": 2180,
+  "num_train_epochs": 5,
+  "total_flos": 472941381419008.0,
+  "trial_name": null,
+  "trial_params": null
+}